From 5889d0318e9d72a625675ec3e75e11787abf5524 Mon Sep 17 00:00:00 2001
From: Caleb Easterly <caleb.easterly@gmail.com>
Date: Thu, 28 Mar 2019 14:49:49 -0500
Subject: [PATCH 01/23] additional viz tests

---
 metaquantome/data/test/cli_bar_viz.png | Bin 0 -> 28479 bytes
 metaquantome/data/test/test.png        | Bin 0 -> 21109 bytes
 tests/travis/testCLI.py                |  14 ++++++++++++++
 3 files changed, 14 insertions(+)
 create mode 100644 metaquantome/data/test/cli_bar_viz.png
 create mode 100644 metaquantome/data/test/test.png

diff --git a/metaquantome/data/test/cli_bar_viz.png b/metaquantome/data/test/cli_bar_viz.png
new file mode 100644
index 0000000000000000000000000000000000000000..72e08c0981feb4ee6a3cc3c8f6cc3c324df105ad
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literal 0
HcmV?d00001

diff --git a/tests/travis/testCLI.py b/tests/travis/testCLI.py
index 133a520..5ddd9f8 100644
--- a/tests/travis/testCLI.py
+++ b/tests/travis/testCLI.py
@@ -43,6 +43,20 @@ def testMultipleInt(self):
         self.assertTrue(test_df['corrected_p']['C'] > 0.05)
         self.assertTrue(test_df['corrected_p'][['N','D']].le(0.05).all())
 
+    def testViz(self):
+        infile = testfile('taxonomy_write_simple.tab')
+        imgfile = testfile('cli_bar_viz.png')
+        cmd = ' '.join([
+            'python3 metaquantome/cli.py viz -m t --plottype bar --infile',
+            infile,
+            '--img',
+            imgfile,
+            """--samps '{"samp1": ["int"]}'""",
+            '--nterms 2 --meancol samp1_mean --target_rank genus'
+        ])
+        test_status = subprocess.call(cmd, shell=True)
+        self.assertEqual(test_status, 0)
+
 
 if __name__ == '__main__':
     unittest.main()

From c8b32eca7845f016b8cfecfd1c6035a5a647307d Mon Sep 17 00:00:00 2001
From: Caleb Easterly <caleb.easterly@gmail.com>
Date: Thu, 28 Mar 2019 15:55:58 -0500
Subject: [PATCH 02/23] fix bar filtering bug

---
 metaquantome/modules/viz.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/metaquantome/modules/viz.R b/metaquantome/modules/viz.R
index 82747fd..b90aad8 100644
--- a/metaquantome/modules/viz.R
+++ b/metaquantome/modules/viz.R
@@ -160,7 +160,7 @@ barplot_cli <- function(args){
     df <- read_result(infile)
     mode <- args[4]
     meancol <- args[5]
-    nterms <- args[6]
+    nterms <- as.numeric(args[6])
     width <- as.numeric(args[7])
     height <- as.numeric(args[8])
     target_rank <- args[9]

From 8989d764247fc9a331e2c1fee5482c84e9fb3d50 Mon Sep 17 00:00:00 2001
From: Caleb Easterly <caleb.easterly@gmail.com>
Date: Thu, 28 Mar 2019 16:29:26 -0500
Subject: [PATCH 03/23] fix filter_to_sig bug and add test

---
 metaquantome/data/test/cli_heatmap_viz.png | Bin 0 -> 26993 bytes
 metaquantome/data/test/rudney_samples.tab  |   3 +
 metaquantome/data/test/tax_filt_out.tab    |  93 +++++++++++++++++++++
 metaquantome/modules/viz.R                 |   2 +-
 tests/travis/testCLI.py                    |  14 ++++
 5 files changed, 111 insertions(+), 1 deletion(-)
 create mode 100644 metaquantome/data/test/cli_heatmap_viz.png
 create mode 100644 metaquantome/data/test/rudney_samples.tab
 create mode 100644 metaquantome/data/test/tax_filt_out.tab

diff --git a/metaquantome/data/test/cli_heatmap_viz.png b/metaquantome/data/test/cli_heatmap_viz.png
new file mode 100644
index 0000000000000000000000000000000000000000..45a4520941a891848eda3fdb5813aac6faa3f49c
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diff --git a/metaquantome/data/test/rudney_samples.tab b/metaquantome/data/test/rudney_samples.tab
new file mode 100644
index 0000000..f3558e7
--- /dev/null
+++ b/metaquantome/data/test/rudney_samples.tab
@@ -0,0 +1,3 @@
+group	colnames
+NS	X730NS,X733NS,X734NS,X737NS,X760NS,X769NS,X781NS,X795NS,X852NS,X861NS,X866NS,X867NS
+WS	X730WS,X733WS,X734WS,X737WS,X760WS,X769WS,X781WS,X795WS,X852WS,X861WS,X866WS,X867WS
diff --git a/metaquantome/data/test/tax_filt_out.tab b/metaquantome/data/test/tax_filt_out.tab
new file mode 100644
index 0000000..987c7d3
--- /dev/null
+++ b/metaquantome/data/test/tax_filt_out.tab
@@ -0,0 +1,93 @@
+id	taxon_name	rank	NS_mean	WS_mean	X730NS	X730WS	X733NS	X733WS	X734NS	X734WS	X737NS	X737WS	X760NS	X760WS	X769NS	X769WS	X781NS	X781WS	X795NS	X795WS	X852NS	X852WS	X861NS	X861WS	X866NS	X866WS	X867NS	X867WS	X730NS_n_peptide	X730WS_n_peptide	X733NS_n_peptide	X733WS_n_peptide	X734NS_n_peptide	X734WS_n_peptide	X737NS_n_peptide	X737WS_n_peptide	X760NS_n_peptide	X760WS_n_peptide	X769NS_n_peptide	X769WS_n_peptide	X781NS_n_peptide	X781WS_n_peptide	X795NS_n_peptide	X795WS_n_peptide	X852NS_n_peptide	X852WS_n_peptide	X861NS_n_peptide	X861WS_n_peptide	X866NS_n_peptide	X866WS_n_peptide	X867NS_n_peptide	X867WS_n_peptide	X730NS_n_samp_children	X730WS_n_samp_children	X733NS_n_samp_children	X733WS_n_samp_children	X734NS_n_samp_children	X734WS_n_samp_children	X737NS_n_samp_children	X737WS_n_samp_children	X760NS_n_samp_children	X760WS_n_samp_children	X769NS_n_samp_children	X769WS_n_samp_children	X781NS_n_samp_children	X781WS_n_samp_children	X795NS_n_samp_children	X795WS_n_samp_children	X852NS_n_samp_children	X852WS_n_samp_children	X861NS_n_samp_children	X861WS_n_samp_children	X866NS_n_samp_children	X866WS_n_samp_children	X867NS_n_samp_children	X867WS_n_samp_children
+157	Treponema	genus	22.4592368471399	23.251641665456614	21.782210465654984	22.293663201701612	19.506474847066862	18.393389679254238	21.31060467932299	21.728055628093554	20.480986062363687	22.602867980613627	23.203993721974225	23.566696765176243	22.313857374707805	25.335612959036755	24.564206593926965	23.758132985051397	21.865153582932077	21.378622826723475	22.004619704258204	23.01330290131711	21.929889350172612	22.77047366650371	22.145836211855425	22.482730706742693	22.080359413733433	23.436551973678235	9.0	3.0	2.0	2.0	6.0	11.0	8.0	10.0	10.0	10.0	7.0	5.0	15.0	9.0	4.0	6.0	8.0	13.0	12.0	6.0	5.0	5.0	14.0	8.0	5.0	2.0	2.0	1.0	4.0	6.0	4.0	4.0	5.0	5.0	4.0	2.0	4.0	3.0	3.0	1.0	4.0	3.0	5.0	3.0	3.0	2.0	6.0	4.0
+194	Campylobacter	genus	22.737726781977898	23.402014527754694	19.374983778535537	20.606446832930114	22.374052312423657	22.175914745445667	20.710711088017703	21.497720060388442	21.935778024142905	21.360868814816588	19.67510328882646	18.442382745355207	21.21818802567592	18.98249372666148	25.95861986611441	24.365465047288765	19.540072068600086	22.271211580494718	17.998259192791753	26.353858284366478	18.911902395646823	20.233239126385538	19.83361162568149	19.261402979800614	20.129527247691183	22.479579021998745	3.0	5.0	2.0	5.0	2.0	7.0	25.0	5.0	7.0	4.0	17.0	3.0	209.0	8.0	4.0	9.0	4.0	8.0	3.0	5.0	7.0	4.0	7.0	6.0	2.0	2.0	2.0	3.0	2.0	4.0	2.0	3.0	2.0	2.0	3.0	2.0	4.0	4.0	2.0	3.0	2.0	4.0	2.0	3.0	2.0	2.0	2.0	4.0
+286	Pseudomonas	genus	22.84530963528067	20.941262344966102	19.390653532195216	21.257892314732068	23.40900039680405	21.249447306145736	22.85533086446144	17.189270329854693	21.43373289557238	18.940290665716923	21.2755581152792	21.78465732920301	19.42254043551283	17.888724701002317	22.016714341281943	20.86953224363516	18.685241717022148	22.54333528743205	20.234005329853034	18.807506861121887	23.765290496984004	16.805950901945454	25.39397860675149	22.523625447598253	19.404033335324762	14.425011898222733	2.0	4.0	2.0	7.0	11.0	3.0	4.0	6.0	7.0	4.0	4.0	2.0	16.0	8.0	2.0	7.0	5.0	5.0	6.0	3.0	6.0	4.0	5.0	1.0	1.0	1.0	1.0	2.0	3.0	0.0	2.0	2.0	2.0	2.0	2.0	0.0	3.0	3.0	2.0	3.0	3.0	1.0	2.0	0.0	3.0	0.0	2.0	1.0
+356	Rhizobiales	order	24.69225559146653	24.47928415080033	24.213805954712	26.19612910182332	23.852474395772273	20.88389298705434	24.072293206158825	24.6359011866213	23.253772028711925	23.84124611127577	25.211843229277033	23.37465798633904	24.971694694445382	23.732993264497427	25.466853125051237	22.51337324493513	23.333984301104184	22.80206380634942	24.48437767254155	26.428256133544647	25.06992046020705	22.354137707550283	23.963063933116196	23.69000244474017	25.821578844423875	23.678835807279214	18.0	10.0	13.0	10.0	12.0	24.0	14.0	11.0	12.0	15.0	20.0	7.0	21.0	13.0	17.0	17.0	18.0	17.0	16.0	11.0	15.0	10.0	21.0	9.0	5.0	4.0	5.0	4.0	5.0	5.0	4.0	5.0	4.0	5.0	5.0	4.0	4.0	4.0	5.0	5.0	5.0	5.0	3.0	4.0	3.0	4.0	5.0	5.0
+481	Neisseriaceae	family	28.278684423613377	23.578683124887306	26.27962488726382	21.380348299519405	20.265011634052573	23.91010523361957	25.25318938906157	23.33599556737296	29.37660244007165	24.118713642422897	29.314496888630167	24.155079469088264	27.84869359057641	23.955877447655148	26.053970602682014	22.206147855022408	26.13696167363647	24.218827734120907	30.53641005463977	21.765106446060415	28.26090482862355	24.25663214471386	27.118776073693013	23.408432498906212	23.31084301358886	23.098763696810842	97.0	4.0	2.0	9.0	49.0	28.0	726.0	27.0	710.0	13.0	373.0	5.0	12.0	14.0	90.0	13.0	1287.0	21.0	213.0	11.0	241.0	7.0	21.0	10.0	3.0	2.0	1.0	1.0	4.0	3.0	4.0	4.0	4.0	3.0	4.0	1.0	3.0	3.0	5.0	2.0	4.0	4.0	3.0	3.0	3.0	3.0	3.0	3.0
+482	Neisseria	genus	24.71621468525704	23.337955500492267	25.22309054267125	21.27224809407663	20.265011634052573	23.91010523361957	24.83614617766947	22.69211027879855	25.957369156876148	23.447797104924483	23.198609553932194	24.068317670999303	22.181396494802414	23.955877447655148	22.066815581067022	21.790934894894853	22.16909502782755	23.750883107517165	22.02401378621116	18.976851915575853	27.235996366157107	24.242623237623764	22.149900827393424	23.36408698820687	22.176120891701288	22.922522172295945	8.0	3.0	2.0	9.0	14.0	9.0	17.0	7.0	8.0	5.0	5.0	5.0	10.0	6.0	6.0	11.0	11.0	2.0	14.0	8.0	11.0	3.0	9.0	6.0	5.0	2.0	1.0	2.0	6.0	3.0	6.0	3.0	4.0	2.0	2.0	3.0	5.0	3.0	4.0	5.0	3.0	0.0	6.0	5.0	2.0	3.0	3.0	3.0
+543	Enterobacteriaceae	family	24.541968063151693	21.658968255049587	21.19265183166299	18.778936903337087	24.406801994236776	23.28442984893313	23.565360578028603	18.647425082748057	22.52171584507061	21.749320324152237	22.94629599899497	20.370563882738377	23.199160672801856	0.0	21.860089648679182	21.406910140003635	22.45005193311192	18.22017707724	27.46551744983655	23.23134237340219	23.874976207065192	20.725397072832983	23.600296651876587	18.767739575829392	23.159442610674034	22.351852296751414	2.0	1.0	4.0	10.0	7.0	4.0	9.0	4.0	6.0	7.0	5.0	0.0	5.0	5.0	6.0	2.0	105.0	20.0	12.0	3.0	7.0	5.0	6.0	6.0	1.0	0.0	2.0	2.0	3.0	2.0	3.0	3.0	3.0	2.0	3.0	0.0	3.0	2.0	3.0	1.0	6.0	3.0	4.0	2.0	2.0	2.0	3.0	4.0
+712	Pasteurellaceae	family	31.441294316475755	27.74864490019109	29.186498614844197	24.175578246391566	20.481583297401627	23.245302539966644	31.583394496968175	21.698805801380452	29.96654214760159	27.07213567688964	31.955129148166925	30.174952383067087	32.27989011421659	22.352338789441013	30.13364856738205	20.78538869183005	31.112307496041588	20.460584339542226	21.458170300521843	22.62062069831925	32.657844295582144	20.198224624491434	32.52950443661703	20.147792757000985	31.98671859933514	30.279393705211056	720.0	6.0	5.0	7.0	2095.0	5.0	1561.0	283.0	3118.0	1510.0	3361.0	22.0	1385.0	7.0	1680.0	4.0	8.0	15.0	3861.0	10.0	3318.0	6.0	2964.0	1458.0	3.0	2.0	3.0	3.0	5.0	2.0	5.0	2.0	5.0	4.0	4.0	3.0	3.0	2.0	4.0	2.0	2.0	3.0	6.0	2.0	4.0	2.0	6.0	3.0
+724	Haemophilus	genus	30.633565686404708	26.78504454278037	28.15635491432493	19.097778815906945	19.801043329740427	22.699002230428377	30.696290588311548	19.267556299527367	28.377726580090137	26.090131050046725	31.173798924853052	29.27754849809542	31.587863825191196	20.517951715030623	27.389664555662584	16.623296772427086	30.413699464304038	17.173396989578702	18.253885767449745	20.76344889241335	31.866468235701703	19.273283692091912	31.886296430568155	20.07315915414024	31.195747151301017	29.280733892382198	386.0	2.0	2.0	3.0	1255.0	1.0	547.0	142.0	1933.0	933.0	2106.0	8.0	275.0	1.0	981.0	1.0	3.0	7.0	2401.0	5.0	2049.0	4.0	1815.0	890.0	3.0	2.0	0.0	1.0	5.0	1.0	5.0	1.0	5.0	3.0	3.0	1.0	3.0	1.0	4.0	1.0	2.0	2.0	5.0	3.0	3.0	2.0	4.0	4.0
+729	Haemophilus parainfluenzae	species	30.483809499340683	26.88190900155309	27.94881799135177	0.0	0.0	0.0	30.317166206364732	19.267556299527367	28.10194484715981	25.817816232951554	30.951713518290234	28.998574612215805	31.29314277993099	19.727116817995146	26.90531617895009	0.0	30.03412076270724	17.173396989578702	15.925085533858454	19.411511638870753	31.634733122446928	14.273633190572465	31.67387434359899	19.507391925664596	30.852348459049548	28.93838188002522	317.0	0.0	0.0	0.0	874.0	1.0	436.0	114.0	1593.0	769.0	1732.0	4.0	191.0	0.0	796.0	1.0	1.0	4.0	1954.0	1.0	1666.0	1.0	1492.0	730.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+836	Porphyromonas	genus	22.314663934914797	21.739378366869417	19.457852049351906	12.604829145488758	20.5088584349098	19.75295348466535	21.600795502879297	14.820205941276624	21.015476498022714	24.619548910204955	23.102133944442386	0.0	22.250024774926313	18.094932479000022	22.960257356576573	21.698467805518185	24.00559645561271	21.306319139121296	20.241884890424398	19.721662751642615	22.144145432202716	19.89403848454665	22.030296485101942	21.62401734479089	22.500284934296726	18.84113705921046	2.0	1.0	5.0	4.0	7.0	1.0	11.0	3.0	29.0	0.0	6.0	3.0	14.0	6.0	6.0	2.0	8.0	4.0	7.0	4.0	3.0	8.0	11.0	2.0	2.0	1.0	3.0	1.0	3.0	0.0	3.0	0.0	4.0	0.0	3.0	2.0	5.0	3.0	2.0	1.0	3.0	1.0	3.0	2.0	1.0	3.0	5.0	1.0
+838	Prevotella	genus	24.779533700933218	24.224746990564395	24.864924216372472	23.76769396904597	22.83964974374393	23.70571512848364	25.162777195979377	25.87563785905976	24.55749376198101	25.21654545207315	25.67054921628861	24.242857063462967	23.988440808284405	22.65837266342718	25.050085335301286	24.178145950063893	24.98104144218843	23.706176617830877	26.01228536130151	23.28318812598716	24.16407036110283	23.76180551573891	23.477545774310087	23.31368399815167	23.13465667324952	23.603736285902077	27.0	13.0	22.0	29.0	67.0	32.0	48.0	33.0	80.0	25.0	27.0	18.0	46.0	31.0	101.0	15.0	74.0	27.0	23.0	20.0	14.0	21.0	27.0	23.0	13.0	7.0	10.0	17.0	13.0	15.0	14.0	18.0	19.0	10.0	15.0	11.0	22.0	13.0	20.0	9.0	17.0	13.0	13.0	10.0	10.0	12.0	12.0	13.0
+848	Fusobacterium	genus	33.260032738456324	28.1393818636283	24.82396969202237	22.223031079414735	18.757365108484112	21.83776603700015	33.49153019943186	21.17155709124576	34.33053784446623	21.76843340276839	34.08178062471965	25.072176549690024	33.59801033231461	22.702945128317232	33.82259561590425	22.13646032418869	33.37214774541592	21.610208297868247	32.16245586391741	31.687010816730698	28.414312391218058	21.690785772577964	33.24879445906351	21.03304706311043	33.973111065586444	24.296925505408158	88.0	6.0	4.0	6.0	5612.0	13.0	9295.0	16.0	8036.0	87.0	6846.0	23.0	7227.0	25.0	4751.0	12.0	3263.0	3268.0	451.0	6.0	5646.0	10.0	7594.0	32.0	3.0	3.0	3.0	4.0	4.0	3.0	4.0	3.0	4.0	3.0	5.0	2.0	5.0	3.0	4.0	4.0	5.0	5.0	2.0	2.0	5.0	2.0	5.0	2.0
+860	Fusobacterium periodonticum	species	30.855884675432712	26.293912291406997	19.9171106473506	20.773884580224994	14.313058142651013	12.989974179912885	31.44662403708189	18.406725933432558	30.12281346629577	0.0	31.910273429691294	21.67445651075483	31.568124432243252	21.340478807551477	31.20533304378397	19.023150068983977	31.435646308250114	18.051095238878336	28.75514930662611	29.71272911465278	25.720972710951987	21.458003511442357	30.57477362519476	20.309010341109868	32.072137095025084	23.514992684441772	1.0	2.0	1.0	1.0	1865.0	2.0	1335.0	0.0	2619.0	12.0	2218.0	6.0	1713.0	6.0	1932.0	4.0	577.0	1162.0	45.0	2.0	1546.0	4.0	2946.0	7.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+970	Selenomonas	genus	22.3724799741853	22.15933658852583	21.963300777441653	17.208137383583722	20.333861429084816	21.270460533882996	22.13788696162601	19.992596292439803	21.933237414122384	22.65212395788333	20.976140144858444	21.638530409325842	23.300038455562106	20.766927720185603	22.967119711570913	19.82187382226865	23.147715738622747	22.41575177124401	21.59776320835864	18.70101141996511	20.42455132913531	24.1302875195938	23.594506080208067	23.493426491146998	21.9305742103157	21.82851483623139	6.0	2.0	8.0	6.0	7.0	7.0	11.0	5.0	8.0	6.0	10.0	2.0	10.0	5.0	6.0	8.0	5.0	5.0	5.0	7.0	8.0	5.0	5.0	5.0	3.0	2.0	4.0	3.0	2.0	2.0	3.0	2.0	3.0	4.0	4.0	2.0	2.0	3.0	3.0	3.0	2.0	4.0	3.0	3.0	4.0	4.0	1.0	3.0
+976	Bacteroidetes	phylum	27.338648935196012	24.90021601275218	25.038934253615786	23.91028211523684	24.90559350913217	24.394178592582673	28.133831352020536	26.001199177701398	26.976172022051703	26.00648185969772	28.70480521630881	24.379459248189306	24.71020487342673	23.4181187415076	26.28401895883711	24.869411218257962	26.701627462835578	24.416367670766416	29.53849071584869	23.93435843485798	24.997311829571156	25.894828778684825	25.65586046759748	24.21477788787849	24.41173330591233	24.20871126635878	38.0	21.0	46.0	43.0	428.0	47.0	270.0	48.0	592.0	37.0	52.0	37.0	110.0	62.0	254.0	35.0	677.0	48.0	54.0	47.0	34.0	47.0	61.0	34.0	2.0	2.0	3.0	2.0	3.0	2.0	3.0	2.0	3.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	3.0	2.0	2.0	2.0
+1016	Capnocytophaga	genus	22.892465198715726	21.80085731644575	21.053214080296463	19.527095564878568	21.766979280790228	20.762297723012342	19.382691888774904	19.574810959356554	21.416867344273058	20.9705383493245	21.26824221259733	16.642544464854687	21.15750915513545	20.705471084734796	24.75630444764119	20.6627239228348	20.86264466806948	21.61179247491777	22.830053298414956	21.00531691515253	22.31380923223648	24.591113923764237	25.019608905828353	20.55101189639048	21.20096725036955	21.458159275750425	5.0	2.0	8.0	5.0	4.0	4.0	7.0	5.0	12.0	2.0	7.0	4.0	13.0	11.0	3.0	15.0	13.0	7.0	11.0	11.0	10.0	5.0	7.0	3.0	2.0	0.0	4.0	1.0	2.0	3.0	2.0	2.0	1.0	1.0	2.0	2.0	4.0	4.0	1.0	5.0	3.0	3.0	4.0	3.0	4.0	3.0	3.0	1.0
+1224	Proteobacteria	phylum	31.892207691960202	28.56258664410351	29.670936602377342	27.07663342666503	26.52476597022835	27.242114998921803	31.848763585965276	27.002544991698574	30.978218832588734	28.01059011342253	32.43664710871743	30.4746846953446	32.55942220175633	26.873410153458856	30.700969244803968	26.068939844784023	31.36234267733518	26.30743275083318	31.854969968535713	28.45389306942968	32.945913414608675	26.227194616146328	32.742403114749884	26.49805476402261	32.19104148297693	30.698790358922995	991.0	60.0	71.0	201.0	2537.0	117.0	2793.0	430.0	4455.0	1796.0	4296.0	82.0	1997.0	107.0	2105.0	89.0	2706.0	299.0	4675.0	78.0	4097.0	76.0	3463.0	1722.0	4.0	4.0	5.0	4.0	5.0	5.0	5.0	5.0	4.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0
+1236	Gammaproteobacteria	class	31.609618173469208	28.159745929918355	29.33425368641757	25.19882771954464	25.58779813317346	25.55394547749487	31.714968039121512	24.906182940800477	30.12998147203255	27.64195951583212	32.09913955069973	30.367193307164623	32.41163951065127	26.159178137633727	30.376576452515945	24.53079034470457	31.22515881236659	25.031866115024663	29.901091751542282	26.832191270093784	32.78746681928323	24.40853757880434	32.640388744801506	25.676355685078235	32.08805029750684	30.535136497955218	794.0	23.0	30.0	61.0	2325.0	23.0	1726.0	332.0	3399.0	1668.0	3647.0	39.0	1573.0	41.0	1842.0	25.0	516.0	138.0	4193.0	29.0	3600.0	25.0	3224.0	1584.0	5.0	4.0	7.0	8.0	5.0	5.0	4.0	4.0	6.0	4.0	5.0	5.0	5.0	6.0	7.0	6.0	7.0	5.0	8.0	5.0	8.0	5.0	6.0	6.0
+1239	Firmicutes	phylum	32.8736766661338	33.66237853269464	33.69016930460979	32.62624328331352	33.53086660947921	33.488495834215996	31.777665784494186	33.63284455044024	31.96642432948349	34.03395857615676	32.05513030713319	33.90182058360645	33.059269547447016	33.03670248595898	32.904701914721066	33.894717423454765	32.379543903664974	34.04101578601538	32.755337431850826	33.599182734527076	33.4834543670178	33.4951849051602	32.95411124819814	33.309432993241835	32.40021286145452	34.16644627435772	10275.0	6444.0	9446.0	9504.0	3911.0	11964.0	4299.0	12775.0	5154.0	11903.0	6972.0	8330.0	7275.0	13717.0	4671.0	13506.0	5653.0	10288.0	8982.0	10829.0	6534.0	10298.0	5938.0	13047.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0
+1279	Staphylococcus	genus	22.504836217201568	24.2116943040312	20.694710416791846	19.61303285745054	21.971053020451464	23.462151983875426	17.03965560835351	27.31545465303748	16.855670458851733	20.388204940174038	20.245270676492872	23.41799568332818	15.483717670905886	19.939700167610532	20.22959062212996	20.199881619489744	20.703740589815453	24.02758683585195	25.781963293923674	23.52857495811075	21.304721151492323	23.08806752761727	12.73341267074633	18.653546645321935	19.676983223933714	18.76617210937382	3.0	1.0	9.0	7.0	1.0	388.0	2.0	2.0	2.0	2.0	2.0	2.0	4.0	6.0	3.0	6.0	2.0	4.0	7.0	4.0	1.0	2.0	3.0	3.0	0.0	1.0	3.0	2.0	1.0	3.0	1.0	0.0	1.0	1.0	1.0	1.0	2.0	3.0	0.0	4.0	0.0	1.0	3.0	2.0	1.0	1.0	1.0	1.0
+1300	Streptococcaceae	family	31.04005087612557	32.68498796725018	32.609862959443326	32.40581955972505	32.88687007914666	33.25844138547374	29.10124143938986	32.2497422774349	29.50735112965809	31.899152761792777	29.753893142654942	32.64771091520379	30.996452852349922	32.18628414077014	30.45778959870371	33.34244970826108	29.295887914446197	33.14250137369812	29.794438742050534	32.60872343467933	31.53910080659905	32.7368262494867	25.84801538224936	32.48955082348738	30.347483581684266	32.49588742623676	4162.0	5424.0	5680.0	7959.0	909.0	5858.0	1058.0	4751.0	1210.0	5664.0	2039.0	4641.0	1834.0	8960.0	1037.0	7751.0	1225.0	5213.0	3137.0	7020.0	165.0	5599.0	1764.0	5387.0	2.0	2.0	3.0	3.0	2.0	2.0	2.0	2.0	2.0	2.0	1.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	1.0	2.0
+1301	Streptococcus	genus	31.01469481309256	32.64981560319793	32.594628090845504	32.37682293425312	32.85508231820879	33.21733933780535	29.059956722561694	32.21992690208474	29.48224296773229	31.867534112767018	29.738624303435802	32.627366326815284	30.976597527343827	32.162260562575824	30.43200484165762	33.29486634381768	29.270917315380736	33.09629726567616	29.771708351569877	32.59319300504715	31.501701851366764	32.686611907034745	25.758865776771692	32.45361268581817	30.33050572928465	32.468936592641285	4114.0	5346.0	5614.0	7843.0	892.0	5788.0	1034.0	4681.0	1194.0	5576.0	2013.0	4580.0	1807.0	8798.0	1017.0	7605.0	1204.0	5146.0	3100.0	6921.0	161.0	5496.0	1742.0	5318.0	18.0	22.0	23.0	29.0	13.0	25.0	15.0	24.0	10.0	24.0	14.0	17.0	18.0	25.0	15.0	27.0	13.0	19.0	18.0	27.0	10.0	24.0	13.0	26.0
+1302	Streptococcus gordonii	species	28.85237968021687	29.760937230244974	28.53827111953495	31.132118535383093	31.305034493857054	24.688124424794022	27.320041572326137	28.526342829550703	27.371729242798853	29.58092479361225	25.92917860441985	23.715443506227075	29.656540776408356	30.783266578966995	23.443382948031502	20.99416729999752	21.022409722612576	21.62670822451487	28.24760457024561	31.13941166466572	29.337710635229158	29.903056268442416	23.759856998951086	20.91000018064953	28.887578612597714	30.973813709441103	428.0	1732.0	1798.0	33.0	235.0	625.0	284.0	900.0	133.0	34.0	812.0	1549.0	19.0	6.0	5.0	4.0	336.0	1675.0	657.0	1017.0	25.0	7.0	618.0	1242.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+1303	Streptococcus oralis	species	23.103687126641674	26.421123666189605	24.61912812148962	25.4191738117239	22.83741174927149	23.79503117288109	20.511845294481713	27.751809251472487	21.0624171801586	25.592112990576066	18.52948119779141	25.223369787321488	23.071325203393823	27.394474312898854	25.441096830107032	26.185157966366702	21.90206814804163	25.40395342417414	23.076822389819213	25.187581485449915	20.321125468792413	25.43278217204217	20.17130216381177	27.882942315620696	20.208730319953485	26.15945706011016	33.0	105.0	10.0	28.0	5.0	283.0	5.0	92.0	3.0	83.0	12.0	250.0	86.0	134.0	6.0	109.0	20.0	61.0	5.0	71.0	8.0	345.0	6.0	105.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+1305	Streptococcus sanguinis	species	22.084393557448287	21.543042772459888	21.36579529548786	19.719668114416088	22.320823798040614	22.643663421336278	20.278320984565294	20.664730793226106	19.040350310186206	19.910519920985923	18.956045504304907	21.1468051800558	22.1221162795508	23.276498430748262	24.481868022663427	19.786276995071983	21.926674144905974	19.757490668956915	17.903478336199544	20.28856779076102	22.135070616245613	22.72707804372864	20.203375529145497	17.90055497494011	22.271601627561232	21.88110951058033	10.0	6.0	7.0	3.0	5.0	9.0	2.0	6.0	3.0	8.0	7.0	26.0	51.0	2.0	10.0	2.0	2.0	3.0	13.0	9.0	1.0	1.0	16.0	14.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+1311	Streptococcus agalactiae	species	18.98609386423588	22.435670696076226	19.705538493060285	19.866724796963357	19.87717613918613	22.052348066539125	15.755434014166319	19.861606748408253	18.3255267827667	22.129846557659008	0.0	23.926224685399628	19.761877246035052	19.07957760080053	18.918800653074136	19.835866407014574	17.19111895834796	24.273366933205637	20.45872207528365	20.463948127484954	18.687251597708613	22.592407061831786	15.964333114404075	23.142858080186855	15.570262626923569	21.246603232299112	4.0	5.0	3.0	11.0	1.0	3.0	2.0	8.0	0.0	8.0	3.0	3.0	2.0	3.0	2.0	8.0	7.0	4.0	3.0	10.0	1.0	12.0	1.0	7.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+1318	Streptococcus parasanguinis	species	26.962149454581645	29.77347730846411	22.254388267955566	27.519615988057442	29.706934990101185	31.87112960466156	24.137948969614506	30.2850772176896	22.395455813890393	29.091703869523233	25.736852436940907	25.951999594041354	24.013011494597315	22.921984850747556	20.036882766065236	30.76751633867441	22.074454889980803	28.732430133835745	25.022058035369948	28.46671810952836	29.025321974412705	30.675449775538844	18.086861982471326	26.056249100019127	22.10327445512197	28.924519217276195	13.0	363.0	895.0	3259.0	57.0	1653.0	6.0	731.0	81.0	160.0	15.0	7.0	6.0	1844.0	11.0	732.0	104.0	557.0	651.0	1718.0	1.0	145.0	10.0	664.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+1350	Enterococcus	genus	22.27148764597278	22.60823898801679	23.49244865513987	23.414903433927392	24.37240414458905	24.88758129438443	20.563847819772974	21.23085263188748	15.879527869127314	20.810965529539427	22.253746426035686	20.662757053309605	21.145709716920308	20.89407562036324	21.952434419232212	20.250939714506238	0.0	21.15425215203751	20.38601577727848	19.649999339047973	22.188939012514282	23.466747242375032	18.114370641945392	21.22022652485775	21.388841020817967	22.95889331744693	7.0	5.0	12.0	7.0	3.0	6.0	2.0	5.0	6.0	7.0	3.0	6.0	10.0	8.0	0.0	7.0	4.0	4.0	4.0	10.0	4.0	8.0	3.0	2.0	3.0	1.0	4.0	2.0	1.0	1.0	0.0	2.0	2.0	3.0	0.0	1.0	3.0	2.0	0.0	1.0	0.0	0.0	1.0	2.0	2.0	1.0	0.0	0.0
+1378	Gemella	genus	25.6133540618394	21.918625259677697	28.760626448341625	20.41322426632106	23.333333022799266	20.003995828313727	19.90422775729069	20.527718492251754	25.510355546708606	22.163763646723247	25.62404794257861	22.206253337039428	18.903083821154414	19.3596206262398	20.654536912649835	21.268488824221908	22.546789067843555	21.03102362468566	22.54662684659898	24.55047855317897	20.71466040340079	19.562486170931198	24.895473413820802	21.51242864044654	21.42190584800925	18.593800384965746	462.0	7.0	19.0	5.0	2.0	12.0	93.0	11.0	123.0	19.0	5.0	4.0	5.0	5.0	10.0	11.0	24.0	68.0	6.0	2.0	8.0	4.0	6.0	2.0	4.0	3.0	4.0	3.0	2.0	2.0	4.0	1.0	4.0	3.0	2.0	3.0	2.0	2.0	4.0	1.0	4.0	4.0	3.0	1.0	3.0	2.0	4.0	1.0
+1379	Gemella haemolysans	species	21.23498138826355	19.888989096460268	24.026460280557217	19.25690088310065	21.461104100412168	16.360685063329587	18.252897360743013	19.320146403281907	20.83444387435928	0.0	21.76639058315259	19.69094212846502	18.71824767235069	14.683182451613526	18.459232347117165	21.204617986474787	18.34889920793565	20.603755493146245	18.207569213169066	19.62422702667547	20.092575562598856	19.562486170931198	19.95234552377314	21.426359854585613	18.343004369723705	14.9377998094599	24.0	3.0	11.0	1.0	1.0	7.0	7.0	0.0	14.0	3.0	3.0	1.0	3.0	4.0	3.0	7.0	2.0	6.0	3.0	2.0	4.0	2.0	2.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+1385	Bacillales	order	24.31450553153779	25.008734255847454	25.28822550835564	20.707959028359284	24.69387466443483	24.169435697558235	23.61308130075852	27.52273977466577	21.516972851226935	23.243239824850136	22.027154603438888	25.381769739535198	22.673513107849807	22.29612650280037	22.006889052064412	21.66146406832213	25.290120538295522	25.423691851893306	26.19881248016323	25.2849004568186	23.476649782233142	24.8337371022627	22.731337682261547	22.66439917092921	23.794962592968396	22.766617061889285	65.0	8.0	49.0	29.0	20.0	425.0	15.0	11.0	12.0	59.0	18.0	16.0	14.0	18.0	28.0	28.0	18.0	58.0	31.0	16.0	11.0	13.0	30.0	18.0	4.0	4.0	4.0	4.0	4.0	4.0	4.0	4.0	2.0	4.0	4.0	3.0	4.0	4.0	4.0	4.0	4.0	4.0	4.0	4.0	3.0	4.0	3.0	4.0
+1386	Bacillus	genus	22.390261842416066	22.688987040206488	19.243823494685632	18.494430678443663	23.673701889661785	21.835916713384584	0.0	23.2697701491858	18.66114108601868	22.80835765154499	19.092334115651948	23.176607533078236	13.750619328106772	19.818513947198202	20.206225225812503	19.191061335834554	24.90131846933755	23.367187182139244	22.461385571401912	23.407185537846914	21.892479628979235	24.23550841128039	21.465448535380737	22.485399518658088	18.498578732509923	19.929664638158794	3.0	2.0	14.0	11.0	0.0	5.0	2.0	5.0	3.0	3.0	1.0	3.0	5.0	3.0	2.0	4.0	4.0	3.0	5.0	6.0	7.0	6.0	3.0	6.0	1.0	2.0	3.0	4.0	0.0	1.0	0.0	1.0	1.0	1.0	0.0	0.0	2.0	2.0	1.0	1.0	1.0	1.0	2.0	2.0	2.0	1.0	1.0	2.0
+1578	Lactobacillus	genus	26.071860645382763	25.568096193783536	24.955243331890227	25.48059171062802	26.51058429295185	25.789511042050158	24.879901672467714	25.605625452176	25.126308496781522	24.607981506134767	24.52549336749947	25.09562833236197	24.009828076042034	25.785009663772243	28.18169256677534	25.601076304089087	27.788601953171483	25.598898837645407	24.4281381490314	24.46636261221123	24.614094452157513	26.239658375885387	24.140176750234502	25.22455580361567	22.6771864744845	26.226254629652413	44.0	81.0	40.0	64.0	12.0	88.0	24.0	38.0	29.0	59.0	20.0	95.0	29.0	99.0	23.0	145.0	38.0	60.0	24.0	47.0	22.0	78.0	19.0	41.0	7.0	8.0	10.0	13.0	4.0	9.0	7.0	8.0	8.0	8.0	4.0	5.0	7.0	11.0	10.0	7.0	7.0	8.0	9.0	10.0	5.0	11.0	8.0	5.0
+1654	Actinomyces	genus	24.186775167248644	24.046008395481337	21.436497425347827	21.35726464049133	22.727963638349767	24.30393346415453	23.813928692372087	24.46769519564217	24.949064925240656	22.812891079116373	24.178836100997806	26.28469465184751	25.11847738730225	19.567109672861886	24.86658333250393	22.820264718767557	25.84948107081672	22.245288881120327	22.52942087091208	23.512077602775683	23.400161028066968	24.737482903760075	22.990279813841486	23.465078973056322	18.22351279328278	22.83174351327272	9.0	12.0	23.0	12.0	41.0	27.0	105.0	12.0	65.0	173.0	83.0	5.0	15.0	12.0	149.0	22.0	5.0	20.0	27.0	16.0	8.0	16.0	6.0	19.0	2.0	2.0	5.0	5.0	3.0	6.0	5.0	5.0	3.0	8.0	5.0	3.0	3.0	4.0	6.0	6.0	1.0	5.0	5.0	4.0	1.0	3.0	4.0	5.0
+1678	Bifidobacterium	genus	22.353720971584988	23.47870967318576	18.3037705453952	16.559828597820207	20.13808650068961	24.528518697911444	19.444983857317137	23.1157327242796	22.27217498859397	22.964407567595124	21.334052855932207	19.895832654670702	20.90924078052963	18.301882165044955	21.03544051153116	18.181828359032984	23.045206384851717	22.65742158570482	20.441309157371585	17.9742582317299	24.964188525311588	25.126513391517218	22.608544369152842	21.17334640664609	20.057970116311285	25.610765120525624	1.0	1.0	5.0	9.0	4.0	9.0	6.0	7.0	9.0	5.0	4.0	2.0	7.0	5.0	3.0	9.0	5.0	3.0	5.0	4.0	7.0	4.0	5.0	7.0	1.0	1.0	4.0	4.0	2.0	3.0	3.0	4.0	4.0	2.0	3.0	1.0	3.0	2.0	1.0	3.0	2.0	2.0	3.0	1.0	3.0	2.0	2.0	2.0
+1716	Corynebacterium	genus	19.65185673540829	21.57756655472318	20.929950766889448	23.496112309433205	21.571829845489287	21.965901017966942	17.405922968810152	20.984967900743197	19.42367690731129	16.589308606296402	19.02987659418039	17.341010261039525	19.31911366132168	20.55097487571144	19.991971172983934	20.469521757060512	19.54282728335913	19.25824536387525	17.064073537566106	20.585449285994773	18.326530102735376	22.907350021899205	15.7739178558193	19.305104629281303	18.51844693378233	22.413071916632973	3.0	5.0	5.0	6.0	4.0	4.0	7.0	1.0	3.0	2.0	2.0	2.0	5.0	4.0	3.0	3.0	1.0	5.0	3.0	3.0	3.0	5.0	2.0	3.0	2.0	3.0	4.0	4.0	2.0	3.0	2.0	1.0	2.0	2.0	1.0	1.0	3.0	2.0	1.0	2.0	1.0	4.0	3.0	2.0	3.0	3.0	1.0	2.0
+1760	Actinobacteria	class	25.261785195597287	25.45188012740324	23.28392993920096	24.41375518043643	24.193309541685853	25.850402581904234	25.230703099930604	26.25280024321639	25.417953809893014	24.95574655917325	25.416481505087553	26.500601824223498	25.54169295451973	22.85594879057879	25.762026309917736	24.65620397456923	26.336750211406297	24.171710429203305	25.26559006775672	24.664260014651216	25.549934931343433	26.241663865242156	24.928925280995944	24.481334113930515	23.57305628267159	26.220228670890926	26.0	31.0	47.0	40.0	63.0	60.0	144.0	41.0	97.0	199.0	107.0	21.0	55.0	49.0	177.0	57.0	29.0	43.0	52.0	46.0	31.0	47.0	30.0	48.0	5.0	5.0	6.0	5.0	5.0	5.0	6.0	5.0	6.0	5.0	6.0	5.0	5.0	5.0	6.0	5.0	6.0	5.0	6.0	5.0	5.0	5.0	5.0	6.0
+2049	Actinomycetaceae	family	24.4052734330324	24.096112449438987	21.436497425347827	21.44879501441038	22.75717010690801	24.30971578168578	23.99081221692431	24.47281775985615	24.988617839823963	22.964877150683268	24.531686245380264	26.29534468302179	25.209065289408844	19.567109672861886	25.001168464523	22.95968198794806	25.914886898293048	22.46881485593529	23.3414391350732	23.563135507044848	23.58141856381032	24.80262263953529	24.35153041772297	23.654072784049703	21.109901727125155	22.95239291241907	9.0	14.0	24.0	14.0	43.0	29.0	109.0	14.0	70.0	179.0	88.0	5.0	18.0	16.0	156.0	27.0	7.0	23.0	31.0	23.0	10.0	19.0	8.0	21.0	1.0	2.0	2.0	3.0	1.0	3.0	2.0	2.0	3.0	3.0	1.0	1.0	3.0	4.0	3.0	4.0	3.0	3.0	4.0	4.0	2.0	3.0	2.0	3.0
+9604	Hominidae	family	21.02639081751512	21.47137731428368	19.835687550792173	19.235849842127674	21.21850041695829	20.892304752239557	18.69596105486389	19.529188367382684	20.648681789072462	22.445627656935763	21.34826117846077	20.833283133869745	22.39919220880013	21.310178744271294	21.660591048302393	21.46973933348701	20.54082067870073	20.772858187361773	19.418424856873767	18.14854154719847	18.527321928103238	0.0	21.801556829368792	23.65289994089177	21.201032895763817	18.22327739211902	2.0	4.0	7.0	2.0	1.0	3.0	4.0	2.0	4.0	5.0	5.0	7.0	1.0	5.0	4.0	6.0	4.0	3.0	2.0	0.0	3.0	4.0	7.0	4.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	1.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+9823	Sus scrofa	species	24.325530922130195	23.846436743634786	21.525124696076894	22.65820462785136	26.21425713079269	25.805149815707477	16.947161661879772	22.01947510532796	20.78365479618668	21.303934895910462	19.81841381228513	20.68554365150032	19.46849896567394	20.232355441139045	25.102462889204503	25.3378750139005	16.266763617805463	22.63003957537136	20.572544371199964	22.57247809976349	26.35385306312357	25.245774664161292	25.38100421713942	23.057313352935637	19.443524406042066	21.15638321139795	4.0	4.0	4.0	5.0	1.0	4.0	2.0	4.0	2.0	3.0	2.0	3.0	3.0	4.0	1.0	4.0	3.0	4.0	4.0	6.0	3.0	4.0	3.0	3.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+28037	Streptococcus mitis	species	20.758135554369076	22.342678019707797	21.384789125260035	21.5801508626408	22.590498277612863	20.713498066835786	20.46452424646934	24.47148729929228	21.950858697898717	21.569320555632054	0.0	21.443309371972514	0.0	20.95190185328572	18.196632073302787	20.373402610241357	19.245083908608354	23.48234697022449	15.015716186425506	22.037946814037465	18.676141397081782	21.10454099859288	15.001173060415228	22.406070755226448	0.0	21.265781859281553	9.0	9.0	18.0	8.0	5.0	10.0	4.0	7.0	0.0	11.0	0.0	8.0	3.0	7.0	2.0	32.0	1.0	13.0	3.0	7.0	1.0	21.0	0.0	10.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+28211	Alphaproteobacteria	class	24.843979801359172	24.687782628609625	24.291366776127358	26.267154227776874	24.193702827431398	23.81830307582273	24.08945601860057	24.69689981823864	23.636747612507733	24.039137016229354	25.365056247247487	23.50528210503187	25.24564421004673	23.833856851886754	25.521092096773014	22.87263924560997	23.717634671415443	23.002667375007128	24.710919072579504	26.44185670736461	25.169515496158496	23.9069485362055	24.316568147124297	24.071684359175038	25.83190224931592	24.00615497515959	21.0	17.0	20.0	15.0	13.0	29.0	21.0	14.0	17.0	20.0	25.0	10.0	27.0	20.0	22.0	22.0	25.0	21.0	21.0	13.0	22.0	19.0	23.0	16.0	3.0	3.0	3.0	3.0	2.0	3.0	3.0	3.0	2.0	3.0	3.0	2.0	3.0	4.0	3.0	3.0	3.0	4.0	2.0	2.0	3.0	4.0	3.0	4.0
+28216	Betaproteobacteria	class	28.365589762410174	24.95624435514636	26.70830973075037	23.202543414618894	22.72383229268715	25.107843968543733	25.474667050899097	25.973721821719746	29.422079565055817	24.48036375340046	29.39425057189927	24.37786316114933	27.91539856595919	24.32607138884574	26.20337394589519	23.303154188443393	26.25740784636989	24.780784427485525	30.609906612580446	24.56892111059796	28.3353624874594	25.002599102659353	27.25374731669495	23.84324028856916	23.74780032312052	26.57470318031168	110.0	11.0	11.0	16.0	63.0	47.0	778.0	43.0	767.0	19.0	407.0	13.0	29.0	24.0	111.0	26.0	1362.0	30.0	247.0	20.0	272.0	19.0	32.0	26.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	3.0	2.0	2.0	2.0	2.0	2.0	3.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0
+29465	Veillonella	genus	31.51741114236677	32.03608823099034	31.44794850142426	21.920424571143013	22.917137539254288	24.537853786485925	30.867679214255126	32.43249337547586	31.098800056664324	33.32886885646381	30.88073964216912	32.71790402457994	32.240953502706944	31.180921691307464	31.36354351588361	31.31706940539739	31.59517955175147	32.35952816662651	31.782760168227693	31.93593078689545	32.316209587944776	31.517181716768423	32.2491774053091	30.65589677478536	31.209819106380106	33.171337938323944	2012.0	19.0	3.0	6.0	1742.0	4215.0	2066.0	6315.0	1939.0	4297.0	3629.0	2591.0	2158.0	2560.0	2230.0	4066.0	2239.0	3020.0	3244.0	2522.0	3306.0	1853.0	2275.0	5445.0	6.0	1.0	0.0	3.0	6.0	4.0	6.0	6.0	6.0	5.0	5.0	4.0	4.0	3.0	5.0	5.0	3.0	4.0	3.0	4.0	4.0	3.0	5.0	5.0
+29466	Veillonella parvula	species	26.64144708468867	26.51699061804681	26.42101398956705	16.280868019741273	0.0	19.051605191158107	23.755386065012196	23.493097904702605	26.246372376404683	27.48253283092882	25.94695331293173	27.983219986741535	28.086910393965677	26.666392770065123	25.78584089878417	22.212091721133838	22.630622638564052	21.53603931322741	26.210609374261985	28.110799028178157	27.69145569383316	25.22320693882585	27.77092978512921	25.018437850375747	24.854075080961515	27.643416490924192	86.0	1.0	0.0	1.0	19.0	12.0	41.0	123.0	75.0	238.0	203.0	127.0	61.0	12.0	12.0	9.0	87.0	202.0	157.0	42.0	144.0	43.0	35.0	127.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+31953	Bifidobacteriaceae	family	22.64944887784661	23.693497541685996	19.469895667416164	21.73079403254096	20.236411632356184	24.63433760685071	19.773023416140514	23.31077172841877	22.742871702863397	23.13717103620182	22.460207770912675	22.795339978636022	21.52805357248261	20.75725824186385	22.18978687601281	19.24967397617085	23.18389441332737	22.995068621031237	21.048718820118236	20.505393421591148	24.97509221402249	25.152210660399515	23.027340983988672	22.089917125077285	21.111974161261124	25.64208597505785	4.0	3.0	6.0	13.0	6.0	10.0	12.0	11.0	11.0	9.0	8.0	5.0	11.0	8.0	7.0	15.0	8.0	5.0	7.0	6.0	11.0	9.0	8.0	10.0	3.0	2.0	1.0	3.0	3.0	2.0	4.0	3.0	3.0	4.0	3.0	3.0	3.0	4.0	2.0	4.0	2.0	3.0	2.0	2.0	3.0	4.0	4.0	1.0
+31957	Propionibacteriaceae	family	21.420117504431342	20.43508681739084	16.212242558279947	20.434819144789536	19.62353400410344	14.34542634734169	22.29921219630499	19.48270199073928	20.90560869703989	19.904567366998325	19.76148318577329	20.147225793065914	21.520664559673087	19.89091200808486	23.917248674937106	20.669185113062465	20.41681446217276	19.905517349525923	20.41046116180066	21.150267373740714	18.32093135349848	21.733535309445653	19.165149549020907	21.475312292293967	21.07928029327072	18.404215135868174	3.0	3.0	4.0	2.0	4.0	3.0	6.0	4.0	3.0	2.0	3.0	2.0	7.0	7.0	2.0	3.0	5.0	2.0	4.0	5.0	1.0	4.0	5.0	3.0	1.0	1.0	1.0	1.0	2.0	2.0	3.0	2.0	2.0	1.0	2.0	1.0	2.0	2.0	2.0	2.0	2.0	1.0	1.0	1.0	1.0	2.0	2.0	1.0
+31977	Veillonellaceae	family	31.55422883515936	32.064476957953055	31.475066407636948	21.994981202058398	22.917137539254288	24.894640495397375	30.90576701665552	32.45874804192702	31.14089750696053	33.351668635776385	30.918531332268273	32.74875247294553	32.277121427969306	31.217093840249195	31.39922233336803	31.3399453773558	31.632520444887014	32.388153264905384	31.82280142955675	31.963678498646413	32.34839661710352	31.546331786704307	32.290185218811736	30.68905746899284	31.249914995611444	33.20309380171461	2054.0	21.0	3.0	11.0	1788.0	4315.0	2113.0	6429.0	1990.0	4384.0	3704.0	2656.0	2208.0	2616.0	2290.0	4155.0	2293.0	3088.0	3313.0	2575.0	3373.0	1903.0	2325.0	5552.0	3.0	3.0	1.0	4.0	3.0	3.0	4.0	3.0	3.0	4.0	3.0	4.0	3.0	3.0	3.0	3.0	4.0	4.0	3.0	3.0	3.0	4.0	3.0	3.0
+32067	Leptotrichia	genus	26.87632814454778	22.50000190099926	20.41915202655261	22.548175434284307	21.75481704538733	20.889089457754665	24.74362803489037	23.62924081984736	24.78100152146741	23.456139684618698	23.67536814704201	22.28197208537886	22.55474723729297	20.10088270561237	30.07369140951351	22.830757480537898	23.00086594252221	23.53024105479763	23.97688145462492	21.364600296866413	19.127315816790805	21.004873553053635	27.700807217006602	21.651412162634067	24.46957470186582	22.17169927331586	8.0	8.0	16.0	4.0	66.0	13.0	30.0	19.0	26.0	4.0	16.0	5.0	1139.0	13.0	12.0	13.0	29.0	11.0	5.0	8.0	329.0	5.0	70.0	9.0	2.0	3.0	3.0	2.0	3.0	3.0	4.0	4.0	4.0	1.0	3.0	2.0	4.0	3.0	2.0	3.0	3.0	3.0	2.0	1.0	3.0	1.0	4.0	3.0
+39777	Veillonella atypica	species	26.002488023033276	28.925868495933823	20.6761998000458	0.0	0.0	18.10802478874329	23.99943043031498	30.239989342660078	19.391663991645192	29.98281433518317	20.97014979705796	24.19409345213768	22.83305259476784	19.302196306310762	26.044295881103878	29.17207273344421	28.963819592958988	30.266802897339016	21.70656157400394	22.13097851384748	26.59247894482648	28.558288280585817	22.85144438487246	21.68586786054605	22.481599166783	29.839341828521427	5.0	0.0	0.0	2.0	39.0	1430.0	3.0	954.0	13.0	57.0	11.0	4.0	88.0	818.0	600.0	1552.0	7.0	10.0	162.0	560.0	12.0	11.0	19.0	1059.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+39778	Veillonella dispar	species	26.223378701671553	26.11167703484368	26.08278404275275	0.0	0.0	13.029746321026517	27.79440099897028	27.190720163792182	23.143826375099092	28.307297363059238	25.45620183967725	25.854832463254816	27.13709373727579	23.873104445490323	24.660054469635984	24.555019657307234	26.90324847802966	26.470024432946783	23.718629407595586	22.846539316525718	24.486096304662123	23.553245569432804	23.169684521384372	21.714073774277438	27.21978471054919	26.506144982823802	66.0	0.0	0.0	1.0	241.0	219.0	28.0	400.0	44.0	70.0	107.0	29.0	52.0	34.0	161.0	157.0	15.0	12.0	35.0	11.0	18.0	6.0	246.0	149.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+39948	Dialister	genus	20.475383719921755	20.77423450422444	16.14755331126001	16.679455493489307	0.0	20.34301271768824	20.423622827650842	20.5196389037728	19.602217640058395	19.78818965293884	22.581023552786373	17.5672443240445	20.542989433294977	19.301800789281412	15.167784462058275	19.143864930426513	18.647258818481387	23.572317187805066	17.29914637358995	18.055365450869978	18.684961946691388	20.70252303035901	19.339420927231227	19.86552772695589	22.024319443382158	19.696788689406528	2.0	1.0	0.0	2.0	2.0	5.0	5.0	4.0	5.0	1.0	3.0	2.0	2.0	3.0	2.0	3.0	2.0	4.0	3.0	5.0	1.0	2.0	5.0	3.0	1.0	1.0	0.0	1.0	1.0	2.0	2.0	2.0	2.0	1.0	1.0	2.0	2.0	2.0	2.0	2.0	1.0	2.0	2.0	2.0	1.0	2.0	2.0	2.0
+41294	Bradyrhizobiaceae	family	22.68855346088776	21.10269427606105	10.335010028729489	0.0	21.586389608802065	19.05512374600289	20.567796728098067	20.425337612916728	22.238123434013144	18.845590947142295	23.689646431081663	18.160633591557065	23.448265712814145	12.069416556937096	21.735823583265613	21.930058232906365	22.5525484038562	21.502669143571964	21.65479240074186	21.734472960448304	23.586109904221345	18.764671934011652	22.847554653730025	23.40615234648123	23.676256620282057	14.944293067625372	1.0	0.0	4.0	3.0	5.0	4.0	6.0	3.0	3.0	2.0	7.0	1.0	12.0	5.0	7.0	5.0	2.0	7.0	8.0	3.0	8.0	3.0	6.0	1.0	1.0	0.0	2.0	2.0	2.0	2.0	2.0	1.0	1.0	1.0	2.0	1.0	2.0	1.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	1.0
+45634	Streptococcus cristatus	species	27.623299015583054	27.07666527610429	30.714753250544852	21.796029113454708	25.231322576814772	23.3454071478401	19.655539820774482	21.797907814731666	23.89515170729949	21.295953737528727	27.251139198228298	30.607986765243503	21.021596665959045	19.642196472047246	27.344168383553786	23.374387728967587	26.85239266112148	24.047103674141464	18.193064632425898	22.443462288496534	19.79901201902825	20.60372598840745	0.0	20.302171068543924	20.575094716255347	21.878997811955017	1093.0	13.0	31.0	7.0	2.0	6.0	58.0	14.0	267.0	1175.0	7.0	5.0	183.0	12.0	227.0	35.0	1.0	10.0	5.0	4.0	0.0	6.0	4.0	7.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+46124	Granulicatella adiacens	species	28.90033745735379	27.24908936658999	29.951873876515926	25.99465838427973	30.197821691688706	24.661915250656772	27.263656180245608	24.353433039731478	25.21713849601449	26.643171410222074	27.163041514598042	26.98336423293744	26.576417364002374	23.562344737306482	28.57719089674505	27.491617296361532	25.978814533902213	21.734151214491764	29.567464165628557	27.854326318023766	29.749622885879802	25.03266495081101	29.06779744846661	29.401977087960486	29.071875930251263	28.46635559698795	1172.0	208.0	1436.0	73.0	295.0	85.0	120.0	288.0	321.0	361.0	281.0	57.0	666.0	492.0	127.0	4.0	1010.0	548.0	1099.0	101.0	825.0	1089.0	842.0	647.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+46125	Abiotrophia defectiva	species	26.628738819635988	20.78120434644654	28.960416939941336	19.099753613117983	25.80904810850357	15.766197725142465	0.0	17.75070319266804	23.00978221479582	22.58501222334152	26.435273410008215	21.679177775940207	23.942154466879487	21.999260734526796	20.619879008620806	0.0	18.982923663447387	0.0	15.212344916016825	21.25296516854647	21.74248617188093	15.85655431424852	28.697968350500325	18.912552905674037	21.8715538842454	18.13897592327781	722.0	3.0	183.0	2.0	0.0	2.0	27.0	32.0	195.0	7.0	60.0	8.0	4.0	0.0	2.0	0.0	2.0	4.0	10.0	1.0	810.0	5.0	21.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+49546	Flavobacteriaceae	family	22.95539686895873	22.184635679496104	21.053214080296463	20.256819457174846	21.968078863512183	22.25191177656353	19.382691888774904	19.574810959356554	21.996716066452095	20.9705383493245	21.743454456244287	16.642544464854687	21.215805800141066	20.705471084734796	24.75630444764119	21.945410258424978	20.968432109785596	22.515892940481333	22.891293091222163	21.360360694495203	22.452020117647084	24.67431493599751	25.019608905828353	21.35232726973642	21.300785779193106	21.977375913825426	5.0	3.0	9.0	6.0	4.0	4.0	9.0	5.0	16.0	2.0	8.0	4.0	13.0	12.0	4.0	17.0	14.0	8.0	12.0	12.0	10.0	6.0	8.0	4.0	1.0	2.0	2.0	2.0	1.0	1.0	2.0	1.0	3.0	1.0	1.0	1.0	1.0	2.0	2.0	3.0	2.0	2.0	2.0	2.0	1.0	2.0	1.0	2.0
+72274	Pseudomonadales	order	23.211608816017442	21.436860926993376	20.48333881236893	21.749460929250787	23.448375795796963	22.840239423554333	22.85533086446144	17.565114570883846	23.37942306785249	20.219794253885702	21.70323899989416	21.913338877384447	19.822503627163037	19.01537263574566	22.80237570310143	20.95703577687511	18.685241717022148	22.543994909741286	22.60205366229209	19.862781156775448	24.32846987041285	20.269210935658947	25.421771099001425	22.677675709238283	19.404033335324762	15.850940270882376	3.0	6.0	3.0	11.0	11.0	4.0	7.0	7.0	12.0	6.0	7.0	5.0	21.0	11.0	2.0	8.0	7.0	8.0	8.0	6.0	9.0	6.0	5.0	2.0	2.0	2.0	2.0	2.0	1.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	1.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	1.0	2.0
+80840	Burkholderiales	order	23.2347231820503	24.191857549926716	24.640769391475434	22.498925791530908	22.434189871458987	24.28171830712745	22.590903722923898	25.46051458378805	21.70902362673431	22.29227233376329	23.194711590563134	21.508181128805152	21.98737056688548	22.182517037441283	22.731219482073325	22.394046776728832	21.57570877848681	23.148679590417558	24.86081869554077	24.34593780080068	23.66919857279261	23.69406861788015	22.401891846578025	21.900975789308337	21.81162965085725	26.438840101500762	6.0	6.0	9.0	7.0	10.0	14.0	10.0	14.0	12.0	4.0	14.0	8.0	15.0	10.0	7.0	13.0	13.0	9.0	21.0	9.0	13.0	12.0	11.0	16.0	3.0	3.0	3.0	3.0	4.0	3.0	3.0	3.0	3.0	2.0	4.0	3.0	4.0	3.0	3.0	3.0	3.0	3.0	4.0	3.0	4.0	3.0	4.0	3.0
+80864	Comamonadaceae	family	22.553357356490967	23.467860526085104	24.55927046776253	22.493776580893535	19.11615478341163	20.472799312518443	22.401483379048962	24.37981662672276	20.209160576645992	22.044405002453605	22.39734668411217	21.156542482345518	19.28393936206647	20.555383962244363	22.53630592221213	19.104938248173816	20.150509117096373	20.741430420533984	24.53833522418264	23.85374233705968	19.61583461514025	23.251330123308914	20.886497842929156	20.641166070602747	20.31308379631421	26.116062785322036	4.0	4.0	5.0	2.0	7.0	7.0	2.0	7.0	8.0	1.0	5.0	2.0	11.0	3.0	5.0	6.0	3.0	2.0	7.0	4.0	6.0	6.0	4.0	6.0	2.0	3.0	3.0	1.0	4.0	4.0	2.0	3.0	4.0	1.0	2.0	1.0	4.0	1.0	3.0	3.0	2.0	2.0	2.0	3.0	2.0	2.0	3.0	2.0
+84998	Coriobacteriia	class	23.14508153930618	23.54696035796893	24.93836083009677	21.298333283010308	24.201904039997398	23.98208553086095	21.63561518415503	22.605770793287906	22.806183564218887	22.413373543011737	23.421379463420717	19.904829849577574	22.147839147836102	22.52463460472465	22.058303592263094	24.234078752779546	23.087297488120807	23.80921351196737	22.22172847226572	23.0921237197876	22.63341242005798	24.70456980061807	21.844043109426398	23.39418001078622	22.23900471652377	24.696966219441077	7.0	2.0	8.0	10.0	7.0	6.0	12.0	12.0	8.0	3.0	5.0	4.0	11.0	14.0	4.0	6.0	7.0	9.0	11.0	7.0	2.0	12.0	7.0	10.0	1.0	1.0	1.0	2.0	2.0	2.0	1.0	2.0	2.0	1.0	2.0	2.0	2.0	2.0	1.0	1.0	2.0	2.0	2.0	2.0	1.0	2.0	2.0	2.0
+85006	Micrococcales	order	22.586370352036727	23.01235790908957	20.455403749519085	21.395321992361687	22.70368156022507	23.183597077544473	23.86818258158437	25.32143056025439	20.521727047091893	23.47473581607291	23.411770581173386	21.776647123518085	19.534027653510265	21.15592617410852	20.073269346152426	22.684610531222248	21.867516921755428	18.60344539049197	24.56836286925435	23.05353705527972	21.247562161917845	19.24809843633105	20.35610867041418	20.79075017585688	22.232191242810305	23.4484323027435	6.0	6.0	7.0	4.0	4.0	8.0	7.0	7.0	5.0	6.0	2.0	5.0	10.0	10.0	4.0	3.0	5.0	6.0	5.0	5.0	6.0	6.0	5.0	7.0	3.0	4.0	4.0	3.0	4.0	4.0	3.0	4.0	3.0	3.0	2.0	2.0	3.0	3.0	3.0	2.0	3.0	3.0	3.0	3.0	3.0	4.0	3.0	3.0
+85007	Corynebacteriales	order	20.89621089023022	22.097896007197214	22.292001014110145	23.496112309433205	21.571829845489287	21.97216500741744	20.346391725356156	21.73443663083981	19.67363911626743	21.24760326778989	20.367401416414186	19.090470917630338	20.706195241929745	20.725344988740886	20.603480712987	23.14104831067083	22.646324642159936	21.67683472657033	17.721720997384278	20.6733380100895	19.40835785722902	23.05007269022569	15.7739178558193	19.970945130063374	19.623305864543862	22.432811998629635	4.0	5.0	5.0	7.0	6.0	9.0	9.0	5.0	6.0	3.0	5.0	4.0	9.0	8.0	7.0	9.0	3.0	7.0	4.0	7.0	3.0	9.0	4.0	6.0	2.0	1.0	1.0	2.0	2.0	2.0	3.0	2.0	2.0	1.0	2.0	2.0	2.0	2.0	2.0	2.0	3.0	2.0	2.0	2.0	1.0	2.0	2.0	2.0
+91061	Bacilli	class	31.75015107403585	32.86740180321424	33.19818285333216	32.53634809152527	33.471692118380325	33.41776964038733	29.98305074990491	32.487138974885305	29.959726575269407	32.09665407790267	30.485589622086426	32.78364188686572	31.26083442148846	32.33573912230939	31.259381958947355	33.47172572315231	30.06101094376124	33.247528462170834	31.18586962719752	32.85649036482498	32.23201166082143	32.891064480452485	30.723201707236942	32.85009246631836	31.18726288042805	32.76584001137989	7668.0	6139.0	9063.0	9032.0	1634.0	6928.0	1549.0	5576.0	2286.0	6751.0	2794.0	5179.0	2958.0	10240.0	1423.0	8414.0	2899.0	6600.0	5165.0	7616.0	2681.0	7662.0	3167.0	6708.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0
+91347	Enterobacterales	order	25.735637383160963	22.553758899640883	22.53535453950437	19.899831515231558	24.48153523500128	23.753503836758362	24.18118011667176	20.503588102210752	22.96372225617252	21.807045001047527	25.27206194662444	21.54665234946141	23.60251228230516	21.96002814366796	22.612875105764168	21.731078631271604	22.586310160651852	18.811569889016454	28.89480487395267	24.919711698554675	24.31413961529516	21.28560975653187	23.99092218485465	19.108949518935365	23.410538511547088	22.86927944783216	8.0	6.0	7.0	18.0	13.0	6.0	20.0	7.0	15.0	10.0	13.0	4.0	15.0	9.0	9.0	4.0	262.0	51.0	22.0	6.0	12.0	6.0	11.0	13.0	4.0	3.0	2.0	4.0	2.0	1.0	3.0	2.0	3.0	2.0	2.0	1.0	3.0	3.0	1.0	2.0	2.0	3.0	4.0	3.0	2.0	1.0	3.0	3.0
+113107	Streptococcus australis	species	21.313924145755745	23.468216671412254	23.205566161747193	22.657433950106007	22.89419209075973	25.88870155756507	0.0	22.053485426955323	16.635360697195402	22.404928834458214	0.0	20.8407876062566	21.216733954492867	20.533499516429316	18.262234492451263	25.28089331395021	19.95540737494885	21.819786733079887	18.058830674971485	19.70254736284236	20.082344291003853	22.528619298505305	0.0	21.0375782448319	19.49837347980613	21.814744251304308	28.0	13.0	16.0	54.0	0.0	11.0	2.0	13.0	0.0	10.0	4.0	6.0	3.0	31.0	2.0	9.0	5.0	5.0	4.0	17.0	0.0	5.0	3.0	9.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+117563	Granulicatella	genus	29.335914227242107	27.72180497869329	30.413671013930895	26.402636976810626	30.76306729105667	25.421953256163324	27.882411819922943	24.98908586932859	25.823936606464358	27.38105835588175	27.50154555454619	27.506143341493395	27.010923114345573	24.26276372174167	29.095677667905488	28.106579177918892	26.414541209696754	21.94459202170248	29.92256122924555	28.31186104695985	30.10101524918847	25.551148395091968	29.41032584579755	29.813888256032605	29.384890590062646	28.852111899596967	1558.0	266.0	1767.0	116.0	450.0	128.0	172.0	385.0	394.0	455.0	342.0	81.0	818.0	612.0	181.0	5.0	1215.0	682.0	1319.0	138.0	1002.0	1324.0	1018.0	804.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	3.0
+119060	Burkholderiaceae	family	21.087905416507713	22.111375637395163	15.793389527669685	12.646913477082734	22.26006255927061	24.159881049635114	17.87681942116253	21.744161593253217	18.68483477351511	18.890641837767173	0.0	19.013924712699193	19.151590645786253	21.562509086455336	15.267438886147394	22.23515002669113	20.51472221359305	22.30587219269001	21.14959037862416	19.39032848246721	23.301935168506517	21.624771600007925	21.137724927527515	16.5345809918755	20.681239134180625	23.724270919891786	1.0	1.0	3.0	3.0	1.0	3.0	4.0	6.0	0.0	2.0	4.0	4.0	2.0	6.0	1.0	3.0	5.0	3.0	8.0	3.0	3.0	2.0	4.0	5.0	1.0	1.0	2.0	2.0	1.0	2.0	3.0	3.0	0.0	2.0	3.0	2.0	2.0	3.0	1.0	3.0	3.0	3.0	4.0	2.0	2.0	2.0	2.0	2.0
+128827	Erysipelotrichaceae	family	21.94315426172615	21.709017550631188	19.92208376387618	20.79180458919052	22.01052828228756	21.619008605483177	21.482036873726425	21.814440071221927	21.08257769811009	21.96684259871955	20.63054799968411	20.597032608244312	21.67045875135301	18.79330515947873	22.73105738420188	19.32390074994257	22.807729632330858	21.945108925007304	18.670070078065933	20.3262881739165	22.09304111150053	21.378342219120807	22.78076299382864	23.846139867838684	22.66642294492146	21.23020778203639	4.0	4.0	5.0	4.0	5.0	5.0	5.0	4.0	3.0	2.0	4.0	1.0	6.0	4.0	5.0	8.0	2.0	3.0	3.0	2.0	4.0	2.0	10.0	7.0	3.0	2.0	3.0	3.0	2.0	3.0	3.0	3.0	3.0	2.0	2.0	1.0	3.0	1.0	3.0	4.0	1.0	2.0	3.0	2.0	3.0	2.0	4.0	3.0
+133925	Olsenella	genus	22.778447659793464	23.07736211214992	24.906706105494145	21.298333283010308	24.187709110179977	23.882132214231657	21.53520950373888	22.477262535564343	21.325607122956495	22.14993174402777	20.954813956948872	19.055577752540145	20.58181447404851	22.433918855758463	21.734296752612934	23.897766281340804	22.118868778176	23.67885542851413	21.90228873450288	22.066757418907887	21.71948293977056	22.293308955715165	0.0	23.185241175030328	21.89195894426266	24.476042613171806	4.0	2.0	7.0	6.0	4.0	3.0	3.0	6.0	5.0	1.0	2.0	2.0	4.0	5.0	2.0	4.0	4.0	3.0	2.0	2.0	0.0	5.0	4.0	3.0	1.0	1.0	2.0	2.0	2.0	1.0	2.0	2.0	2.0	1.0	0.0	1.0	1.0	2.0	1.0	2.0	2.0	1.0	1.0	1.0	0.0	2.0	2.0	1.0
+137732	Granulicatella elegans	species	23.567621660240857	21.069264261163763	26.12746056922684	17.536082886512116	25.00426386923168	21.77642443922289	24.433200605234326	21.067083796391746	21.226528810176593	19.90164920954916	19.462942921283013	22.28197188702657	18.465230972198636	16.989546288954333	20.23192536646712	20.276510436197146	17.087148567682984	19.063370423241416	22.127331088963707	20.894636008526767	21.337173636703003	21.69184925621571	20.667521800648856	21.09181854802461	22.46049242706653	22.202117362924714	131.0	1.0	37.0	5.0	64.0	3.0	5.0	6.0	4.0	9.0	3.0	1.0	6.0	7.0	1.0	1.0	10.0	6.0	10.0	2.0	9.0	9.0	8.0	4.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+162289	Peptoniphilus	genus	20.201838901917675	20.935786611658095	20.095941897291656	17.458018612083613	20.639182095582605	21.557597220761505	18.405701110984637	21.672324817303632	19.049878256302033	16.968073016709972	20.4155104569531	21.464736906507387	18.578789254161453	20.144535679020624	20.98096272404288	20.637384038449788	19.581589510387033	17.894561182473726	19.677388612306245	22.19096496348532	22.32440912099536	22.521627731015897	15.664003208349927	19.129616348039672	15.357538562556995	14.461920484999919	3.0	2.0	1.0	5.0	3.0	5.0	3.0	2.0	6.0	5.0	3.0	3.0	11.0	5.0	7.0	6.0	4.0	4.0	5.0	4.0	1.0	1.0	1.0	3.0	1.0	1.0	0.0	1.0	2.0	0.0	1.0	0.0	2.0	1.0	1.0	0.0	2.0	2.0	1.0	2.0	0.0	0.0	2.0	0.0	0.0	0.0	0.0	1.0
+165779	Anaerococcus	genus	22.181951893762225	19.524944226849325	18.54040224746611	0.0	18.285627505089998	0.0	24.106357177808448	20.257920789870575	21.904204306905378	19.267195913599103	20.644386305593947	19.452982990155327	18.815359043867304	0.0	24.371298230041628	18.7813338511602	18.6227485074234	18.41930112903463	21.7168574248358	20.102602136175552	21.405867427869996	18.098571010621395	18.952392501270264	19.916949357294648	21.72754217567088	19.916223151096137	1.0	0.0	1.0	0.0	3.0	5.0	6.0	3.0	7.0	3.0	6.0	0.0	7.0	3.0	2.0	6.0	3.0	4.0	2.0	1.0	2.0	4.0	4.0	3.0	0.0	0.0	1.0	0.0	2.0	2.0	2.0	2.0	3.0	3.0	3.0	0.0	3.0	1.0	1.0	2.0	1.0	3.0	1.0	0.0	2.0	2.0	2.0	2.0
+171549	Bacteroidales	order	27.11246709394449	24.562576614744945	24.944867816434122	23.783485715338426	23.285044823530676	24.013211460431446	28.002512747700592	25.97340627774153	26.704511675639054	25.9576832453008	28.530372960671315	24.25642379523949	24.514976039856144	23.078445408021828	25.646260272992144	24.63036718621397	26.500053600009604	23.96656855958961	29.380793547441627	23.649943761636237	24.64756690751292	24.212398176416677	24.044408009842616	23.976128543073234	24.155765207210003	23.794822508022353	33.0	16.0	32.0	36.0	380.0	41.0	236.0	40.0	510.0	27.0	39.0	30.0	92.0	45.0	228.0	18.0	592.0	39.0	39.0	32.0	21.0	40.0	47.0	27.0	3.0	3.0	3.0	3.0	3.0	4.0	5.0	4.0	4.0	2.0	4.0	4.0	4.0	3.0	3.0	3.0	4.0	4.0	4.0	4.0	4.0	4.0	4.0	2.0
+171552	Prevotellaceae	family	26.74811884282495	24.292188060169085	24.90968544001194	23.76769396904597	22.945370015330663	23.79478896429173	27.629734899853467	25.941138129936537	26.40961615350691	25.21701343385916	28.20626768810892	24.252308724458054	24.02580279007446	22.7820570283134	25.3125857354077	24.36315856891433	25.931423914832806	23.706176617830877	29.006379178098395	23.332642456861983	24.308142670553316	23.88297855897874	23.62273286904233	23.477906631163297	23.365131128990388	23.74749976140898	30.0	13.0	24.0	31.0	291.0	37.0	174.0	34.0	371.0	26.0	29.0	22.0	65.0	37.0	179.0	15.0	439.0	28.0	28.0	23.0	16.0	26.0	31.0	25.0	3.0	1.0	3.0	3.0	3.0	3.0	3.0	2.0	3.0	2.0	2.0	3.0	2.0	3.0	3.0	1.0	3.0	2.0	3.0	3.0	2.0	3.0	3.0	3.0
+186802	Clostridiales	order	27.863271945455107	24.89694791742496	23.952601790078003	23.382612698668204	24.563979662294745	25.66250655802362	26.50537391375444	24.670766652508487	27.47118119328121	25.559307298233794	28.667584600827823	24.211296140306832	24.412590298585897	22.95840329296431	30.663445376840397	24.575240647891196	28.419145515831342	24.903007391501962	24.664174144419366	25.195282096559488	24.819175832430634	25.486779161783137	24.046196276634678	23.435373359029487	24.61998960882041	25.68565349635784	21.0	16.0	28.0	34.0	145.0	38.0	259.0	28.0	478.0	27.0	33.0	20.0	1608.0	31.0	589.0	39.0	45.0	29.0	30.0	29.0	25.0	32.0	35.0	30.0	3.0	3.0	5.0	5.0	5.0	5.0	4.0	5.0	3.0	3.0	4.0	2.0	4.0	5.0	5.0	5.0	4.0	2.0	6.0	4.0	5.0	4.0	4.0	4.0
+186803	Lachnospiraceae	family	26.5365208447825	23.631763199191433	22.087311335035402	22.79585491145375	23.53196031781843	24.852435641022282	25.631919926921476	23.90111675045971	26.73789832392785	24.719078596846717	28.15251788974698	23.06461319613091	24.167726655066037	21.90507970150146	28.388958009012644	21.770735402515168	28.0403001951791	22.89168204837938	22.357687385759732	23.915165846870323	23.17971856066495	24.787901815427915	23.057293247201013	21.357847362865826	24.19542896186232	21.77269613118817	7.0	6.0	8.0	14.0	101.0	14.0	171.0	10.0	339.0	13.0	18.0	9.0	555.0	14.0	472.0	12.0	19.0	13.0	10.0	8.0	7.0	14.0	17.0	8.0	5.0	5.0	4.0	4.0	6.0	7.0	6.0	5.0	6.0	5.0	6.0	4.0	5.0	4.0	4.0	5.0	6.0	6.0	4.0	4.0	5.0	5.0	5.0	4.0
+186804	Peptostreptococcaceae	family	26.50576303283946	22.77781549088921	19.540792505123356	19.84806419896069	22.819589079970022	21.027723891538827	24.763189566035965	20.999686610342817	24.261955804622158	23.49110450487055	22.999178752845093	23.100496530397194	19.76915852281815	19.385789451266827	29.968447136120105	22.94392931334128	20.913114046987012	23.785806263034466	23.39222819287117	24.000815069824558	22.53339035606349	21.438149419850628	21.396501452612977	21.68498629242661	22.27364441375489	23.750921313716326	5.0	4.0	8.0	8.0	11.0	8.0	13.0	8.0	11.0	8.0	5.0	6.0	823.0	8.0	6.0	11.0	10.0	9.0	4.0	9.0	9.0	10.0	9.0	9.0	2.0	2.0	3.0	3.0	3.0	3.0	3.0	3.0	2.0	3.0	2.0	3.0	3.0	2.0	2.0	2.0	3.0	3.0	2.0	3.0	2.0	2.0	3.0	3.0
+186817	Bacillaceae	family	22.570847598578485	22.801452183141325	20.242474851896567	18.681629498806686	23.7103896124936	22.023698162750723	21.75006904563679	23.317915417373953	18.66114108601868	22.80835765154499	19.62130929490416	23.463607424960884	21.016206124745807	20.195501193513103	21.062306668679586	19.654249754211573	24.95959966932345	23.473609382705803	22.5504064210192	23.41637953270925	21.930277730004786	24.25545095666748	22.158404441038705	22.485399518658088	21.64944736627069	21.466926879076667	5.0	3.0	17.0	14.0	3.0	6.0	2.0	5.0	5.0	6.0	2.0	4.0	6.0	4.0	3.0	6.0	7.0	4.0	6.0	8.0	8.0	6.0	5.0	8.0	2.0	2.0	2.0	2.0	1.0	1.0	1.0	1.0	3.0	4.0	2.0	2.0	2.0	2.0	1.0	2.0	3.0	2.0	1.0	2.0	1.0	1.0	2.0	2.0
+186826	Lactobacillales	order	31.624961216626073	32.82607257476154	33.07344056380458	32.51934163852834	33.3198111180399	33.336308791928026	29.896010581156546	32.41815470205883	29.797461167864398	32.07212537828489	30.28704779128689	32.75281095238583	31.205146024163824	32.30220534677862	31.227061976818838	33.44939184500077	29.95188914741597	33.211365393661396	31.06755276937293	32.81533279161321	32.11867686086419	32.83791516782056	30.448900568265948	32.809138485692365	31.118885149069985	32.73506567706285	6966.0	6021.0	8172.0	8408.0	1515.0	6337.0	1365.0	5450.0	2005.0	6477.0	2606.0	5039.0	2881.0	10061.0	1344.0	8170.0	2740.0	6271.0	4767.0	7439.0	2293.0	7387.0	3039.0	6544.0	5.0	5.0	5.0	6.0	4.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	4.0	4.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0
+186828	Carnobacteriaceae	family	29.370782956946545	27.76291872885829	30.45205190480293	26.44567414063633	30.80052630843073	25.50136840621385	27.949991248719286	25.096514095318927	25.84346609244545	27.411982722456088	27.545877569115024	27.556496957261142	27.039539261526624	24.35368723929883	29.119815327540454	28.148859821091445	26.43892281618993	22.125819946360302	29.958204995434414	28.36165393233391	30.127169817560702	25.60474890363494	29.445113550155025	29.852628216951423	29.417401201065307	28.877877032501136	1589.0	275.0	1801.0	122.0	466.0	139.0	175.0	397.0	408.0	468.0	351.0	86.0	834.0	633.0	189.0	8.0	1241.0	701.0	1342.0	144.0	1022.0	1354.0	1037.0	820.0	4.0	2.0	4.0	2.0	2.0	3.0	1.0	2.0	2.0	3.0	2.0	2.0	2.0	3.0	1.0	3.0	3.0	3.0	4.0	3.0	2.0	3.0	3.0	2.0
+201174	Actinobacteria	phylum	25.848277880139772	26.325724303322954	25.44335839169099	24.625460641630102	25.33543024901195	26.38080966473031	25.535504291293343	26.432968311699227	26.05461112945051	25.55469987414196	26.42242309131936	28.360248473709262	26.107375855401784	23.77153256852889	25.92736316146503	25.52368780268969	26.853740005007413	25.03652938829249	25.54138501730898	25.692973874996692	26.004114181742978	26.711928108192282	25.12446117832511	25.147214886514345	24.147582575694734	26.7550700410886	43.0	38.0	67.0	55.0	86.0	79.0	193.0	75.0	213.0	616.0	148.0	28.0	75.0	72.0	244.0	67.0	40.0	106.0	103.0	59.0	37.0	72.0	44.0	68.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0
+203491	Fusobacteriales	order	33.38002013665451	28.295833495799307	24.953765013169388	23.39474377708772	22.158725210149065	22.4400400075868	33.59080400592074	23.888070155521852	34.431519799776396	23.8573320035419	34.1886038452706	25.37554191560617	33.70026130473536	22.995262341376602	34.022783559925536	23.577493557965546	33.47460978598078	23.948908867624336	32.28572696244835	31.819132692586976	28.511733948621806	22.388215025444584	33.39902556861409	22.389636458774675	34.077528430474004	24.655465254846373	104.0	14.0	21.0	10.0	6000.0	27.0	9761.0	36.0	8490.0	101.0	7246.0	30.0	8834.0	40.0	5044.0	27.0	3529.0	3512.0	511.0	14.0	6374.0	16.0	8100.0	44.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0
+213849	Campylobacterales	order	22.877553191845465	23.42651999615718	19.75597554022685	20.606446832930114	22.374052312423657	22.175914745445667	20.754706572915023	21.497720060388442	22.151782833367424	21.424623443460977	20.230148010413348	18.916555043688426	21.418564344944826	20.053670388187925	26.080710859770953	24.38212216239476	20.727427914381174	22.276599643574947	18.169051721776746	26.353858284366478	18.911902395646823	20.233239126385538	19.83361162568149	20.64842005221573	20.26551706334565	22.519209227282648	4.0	5.0	2.0	5.0	3.0	7.0	29.0	6.0	8.0	5.0	20.0	5.0	223.0	9.0	6.0	10.0	5.0	8.0	3.0	5.0	7.0	6.0	9.0	8.0	2.0	1.0	1.0	1.0	2.0	1.0	2.0	2.0	2.0	2.0	1.0	1.0	2.0	1.0	2.0	2.0	2.0	1.0	1.0	1.0	1.0	2.0	2.0	2.0
+265975	Oribacterium	genus	22.85370496486701	22.969449265232587	20.101741577180146	22.56398402487284	23.25810957623011	24.35778742523521	17.537402719954088	23.019926560099467	23.64564127296471	24.502619342726426	25.456991203534198	22.64581756693985	20.73947311260018	20.991664986330107	19.27059493275521	21.224731815990502	18.322952255478427	22.452431799569784	19.905251328586328	23.476605187984386	22.92791542377163	23.10492022633954	17.90746229105769	19.411570648409775	23.020270023870978	18.418708679724237	2.0	2.0	2.0	6.0	1.0	4.0	11.0	3.0	10.0	5.0	7.0	3.0	6.0	3.0	2.0	3.0	5.0	5.0	5.0	4.0	1.0	4.0	5.0	1.0	0.0	0.0	0.0	2.0	0.0	1.0	2.0	1.0	1.0	1.0	2.0	1.0	2.0	1.0	0.0	0.0	0.0	1.0	2.0	0.0	1.0	1.0	1.0	0.0
+416916	Aggregatibacter	genus	26.028143565805202	21.963715511593186	19.071697785619996	24.132215681040503	18.581288524695864	20.644965500038744	23.12659650295228	21.18444264381485	27.65467355347139	21.438699817819206	25.29209629021757	23.74316993948855	23.720591679972035	21.08701566361023	28.85395927826012	16.378181817066846	24.00350903786073	17.7667506724018	20.87439115632514	19.272291498679323	24.40326724487193	0.0	23.155822634831036	15.8378395946466	23.165629190009927	21.236082242783827	3.0	4.0	2.0	2.0	5.0	3.0	364.0	9.0	41.0	12.0	18.0	5.0	493.0	2.0	29.0	2.0	3.0	3.0	27.0	0.0	14.0	2.0	9.0	8.0	1.0	2.0	1.0	1.0	2.0	1.0	3.0	2.0	3.0	3.0	3.0	3.0	3.0	1.0	3.0	1.0	2.0	1.0	3.0	0.0	3.0	2.0	2.0	3.0
+649777	Synergistaceae	family	21.34410870483268	20.342481859790933	12.722775191402784	18.92833567189773	20.513630556865273	0.0	21.123541056925603	16.633712993437534	17.439985048901242	19.296406260651942	20.62546717088497	22.722314508599528	18.941545335029307	12.558719922528866	23.26590054186841	18.81660458896966	20.71863709736182	21.23783558474517	20.577158921964482	19.019500051140387	23.284148568284248	21.194625956766988	20.366267968252497	17.258831083285212	19.802895038657333	18.718863384956276	1.0	3.0	3.0	0.0	4.0	2.0	3.0	4.0	3.0	3.0	2.0	1.0	9.0	4.0	1.0	4.0	2.0	4.0	2.0	3.0	4.0	2.0	2.0	1.0	1.0	3.0	2.0	0.0	2.0	2.0	2.0	3.0	2.0	2.0	2.0	1.0	3.0	2.0	1.0	2.0	2.0	3.0	2.0	3.0	3.0	2.0	2.0	0.0
+909932	Negativicutes	class	31.642194031354713	32.13468762235439	31.544314244694014	22.26107368410749	23.403415372397927	25.274630134164894	30.995174586086407	32.534383226499486	31.221607191441215	33.416289115554946	31.007758003630567	32.812479432123524	32.3657796226359	31.27982807466682	31.50580897261089	31.419980035372852	31.73676675760914	32.46689932493384	31.90335373250952	32.01991155162215	32.440506546087626	31.624366871994567	32.376633329293604	30.77201116376389	31.324387306077984	33.27525557843209	2112.0	24.0	13.0	22.0	1858.0	4415.0	2187.0	6539.0	2047.0	4470.0	3786.0	2718.0	2281.0	2701.0	2355.0	4257.0	2365.0	3164.0	3391.0	2649.0	3465.0	1957.0	2384.0	5655.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	3.0	2.0	2.0	2.0	2.0
+1570339	Peptoniphilaceae	family	23.376192221156746	21.9233285218442	21.530370272488227	18.080746778833426	22.069344119853483	21.69336496273765	24.224440757757648	23.248488219093908	22.70511207327184	20.87440581741395	22.21077750839318	21.90605373227633	20.779175868793548	20.912271401897566	25.86972432971436	21.05424678262083	21.751447218169673	22.82055468109171	22.872969174097605	22.769851569191083	22.94097984639506	22.587358803525447	21.898503869358407	20.8124661881928	22.427603428836107	20.403651221891238	8.0	4.0	5.0	7.0	9.0	15.0	16.0	11.0	20.0	11.0	13.0	8.0	28.0	9.0	16.0	17.0	10.0	13.0	8.0	5.0	7.0	9.0	9.0	8.0	4.0	2.0	4.0	3.0	4.0	4.0	4.0	4.0	4.0	3.0	3.0	3.0	4.0	3.0	4.0	4.0	4.0	3.0	3.0	2.0	4.0	3.0	4.0	3.0
+1643824	Atopobiaceae	family	23.095961409992302	23.208563169782163	24.915226695607878	21.298333283010308	24.201904039997398	23.93953836973515	21.588480102781343	22.589064661598893	22.67860039633661	22.386543718617833	23.38407466541362	19.904829849577574	22.032654192647296	22.494976060551032	21.97127765348275	23.91618649632667	23.087297488120807	23.709595883268843	21.94359747287084	22.81282029308393	22.48415692721951	22.29631653248385	21.844043109426398	23.250123815558876	22.211599792157088	24.682377093999648	6.0	2.0	8.0	7.0	5.0	5.0	10.0	10.0	7.0	3.0	3.0	3.0	9.0	8.0	4.0	5.0	5.0	6.0	5.0	3.0	2.0	8.0	6.0	7.0	2.0	1.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	1.0	2.0	2.0	2.0
+1843491	Selenomonadaceae	family	23.23864639783701	22.8728938280295	22.15215088671252	17.208137383583722	21.598185771677297	22.661543465600804	23.015096873655523	22.531134703617262	22.68649736015477	23.24016576883264	23.96621462793578	21.778565860399933	24.31621982642957	21.414594274785475	23.418189249072828	20.40663564024541	23.612216055685572	22.864012545765014	22.747995432652267	22.521151691407837	22.712049747539854	24.22506609220036	23.83919133820257	24.50800705913742	22.384756810701738	22.106172333873914	9.0	2.0	10.0	10.0	14.0	13.0	15.0	10.0	15.0	7.0	18.0	6.0	16.0	9.0	8.0	12.0	12.0	12.0	13.0	9.0	16.0	9.0	10.0	9.0	2.0	1.0	2.0	3.0	2.0	2.0	2.0	2.0	2.0	1.0	3.0	1.0	3.0	3.0	3.0	2.0	2.0	2.0	3.0	2.0	3.0	2.0	2.0	3.0
diff --git a/metaquantome/modules/viz.R b/metaquantome/modules/viz.R
index b90aad8..991408d 100644
--- a/metaquantome/modules/viz.R
+++ b/metaquantome/modules/viz.R
@@ -262,7 +262,7 @@ heatmap_cli <- function(args){
 
     # get color mapping
     colSideColors <- get_colors_from_groups(args[5], all_intcols)
-    filter_to_sig <- (args[6] == "True")
+    filter_to_sig <- (args[6] != "None")
     alpha <- as.numeric(args[7])
     width <- as.numeric(args[8])
     height <- as.numeric(args[9])
diff --git a/tests/travis/testCLI.py b/tests/travis/testCLI.py
index 5ddd9f8..9123f04 100644
--- a/tests/travis/testCLI.py
+++ b/tests/travis/testCLI.py
@@ -57,6 +57,20 @@ def testViz(self):
         test_status = subprocess.call(cmd, shell=True)
         self.assertEqual(test_status, 0)
 
+    def testHeatmapViz(self):
+        infile = testfile('ec_ttest_tested.tab')
+        imgfile = testfile('cli_heatmap_viz.png')
+        cmd = ' '.join([
+            'python3 metaquantome/cli.py viz -m f --ontology ec --plottype heatmap',
+            '--infile', infile,
+            '--img', imgfile,
+            "--samps '", TTEST_SINFO, "'",
+            '--filter_to_sig',
+            '--alpha 0.5'
+        ])
+        test_status = subprocess.call(cmd, shell=True)
+        self.assertEqual(test_status, 0)
+
 
 if __name__ == '__main__':
     unittest.main()

From 8449564e8704e53181ea2431d8cfe06e59d1088b Mon Sep 17 00:00:00 2001
From: Caleb Easterly <caleb.easterly@gmail.com>
Date: Thu, 28 Mar 2019 16:38:45 -0500
Subject: [PATCH 04/23] column check in heatmap

---
 metaquantome/modules/viz.R | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/metaquantome/modules/viz.R b/metaquantome/modules/viz.R
index 991408d..bd9ea96 100644
--- a/metaquantome/modules/viz.R
+++ b/metaquantome/modules/viz.R
@@ -199,6 +199,10 @@ mq_heatmap <- function(img, df, all_intcols, colSideColors, filter_to_sig, alpha
     # colSide colors is a vector of colors for the groups. Must be in the same order as samp_columns
     # filter to sig
     if (filter_to_sig){
+        pvals <- df$corrected_p
+        if (is.null(pvals)) {
+            stop("the dataset does not have a column named 'corrected_p'. did you run metaquantome stat?")
+        }
         df <- df[df$corrected_p < alpha, ]
         if (nrow(df) == 0) {
             stop("after filtering to provided value of alpha, no rows remain. please increase alpha")

From 4d7b61afdec57a845614a0edd59633112195eba7 Mon Sep 17 00:00:00 2001
From: Caleb Easterly <caleb.easterly@gmail.com>
Date: Thu, 28 Mar 2019 17:04:20 -0500
Subject: [PATCH 05/23] fix heatmap bug introduced in last bugfix

---
 metaquantome/cli.py                        |   1 +
 metaquantome/data/test/cli_heatmap_viz.png | Bin 26993 -> 27778 bytes
 metaquantome/data/test/cli_pca_viz.png     | Bin 0 -> 188818 bytes
 metaquantome/data/test/test.png            | Bin 21109 -> 0 bytes
 metaquantome/modules/viz.R                 |   8 +++++---
 tests/travis/testCLI.py                    |  22 +++++++++++++++++++++
 tests/travis/testRunViz.py                 |   7 +++++++
 7 files changed, 35 insertions(+), 3 deletions(-)
 create mode 100644 metaquantome/data/test/cli_pca_viz.png
 delete mode 100644 metaquantome/data/test/test.png

diff --git a/metaquantome/cli.py b/metaquantome/cli.py
index ca802c3..69ec62a 100755
--- a/metaquantome/cli.py
+++ b/metaquantome/cli.py
@@ -54,6 +54,7 @@ def cli():
                 flip_fc=args.flip_fc,
                 gosplit=args.gosplit,
                 sinfo=args.samps,
+                filter_to_sig=args.filter_to_sig,
                 alpha=args.alpha,
                 whichway=args.whichway,
                 name=args.name,
diff --git a/metaquantome/data/test/cli_heatmap_viz.png b/metaquantome/data/test/cli_heatmap_viz.png
index 45a4520941a891848eda3fdb5813aac6faa3f49c..7dd0cbfb2afff4f26fa003ea1e5c5f66caa9f352 100644
GIT binary patch
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diff --git a/metaquantome/modules/viz.R b/metaquantome/modules/viz.R
index bd9ea96..b994bf4 100644
--- a/metaquantome/modules/viz.R
+++ b/metaquantome/modules/viz.R
@@ -201,11 +201,13 @@ mq_heatmap <- function(img, df, all_intcols, colSideColors, filter_to_sig, alpha
     if (filter_to_sig){
         pvals <- df$corrected_p
         if (is.null(pvals)) {
-            stop("the dataset does not have a column named 'corrected_p'. did you run metaquantome stat?")
+            stop("the dataset does not have a column named 'corrected_p'. did you run metaquantome stat?",
+                 call. = FALSE)
         }
         df <- df[df$corrected_p < alpha, ]
         if (nrow(df) == 0) {
-            stop("after filtering to provided value of alpha, no rows remain. please increase alpha")
+            stop("after filtering to provided value of alpha, no rows remain. please increase alpha",
+                 call. = FALSE)
         }
     }
 
@@ -266,7 +268,7 @@ heatmap_cli <- function(args){
 
     # get color mapping
     colSideColors <- get_colors_from_groups(args[5], all_intcols)
-    filter_to_sig <- (args[6] != "None")
+    filter_to_sig <- (args[6] == "True")
     alpha <- as.numeric(args[7])
     width <- as.numeric(args[8])
     height <- as.numeric(args[9])
diff --git a/tests/travis/testCLI.py b/tests/travis/testCLI.py
index 9123f04..1fe175c 100644
--- a/tests/travis/testCLI.py
+++ b/tests/travis/testCLI.py
@@ -70,6 +70,28 @@ def testHeatmapViz(self):
         ])
         test_status = subprocess.call(cmd, shell=True)
         self.assertEqual(test_status, 0)
+        cmd2 = ' '.join([
+            'python3 metaquantome/cli.py viz -m f --ontology ec --plottype heatmap',
+            '--infile', infile,
+            '--img', imgfile,
+            "--samps '", TTEST_SINFO, "'"
+        ])
+        test_status2 = subprocess.call(cmd2, shell=True)
+        self.assertEqual(test_status2, 0)
+
+    def testPCABig(self):
+        infile = testfile('tax_filt_out.tab')
+        sampfile = testfile('rudney_samples.tab')
+        imgfile = testfile('cli_pca_viz.png')
+        cmd = ' '.join([
+            'python3 metaquantome/cli.py viz -m t --plottype pca',
+            '--infile', infile,
+            '--img', imgfile,
+            "--samps", sampfile,
+            '--calculate_sep'
+        ])
+        test_status = subprocess.call(cmd, shell=True)
+        self.assertEqual(test_status, 0)
 
 
 if __name__ == '__main__':
diff --git a/tests/travis/testRunViz.py b/tests/travis/testRunViz.py
index e9715d1..eec134d 100644
--- a/tests/travis/testRunViz.py
+++ b/tests/travis/testRunViz.py
@@ -54,6 +54,13 @@ def testPCA(self):
                 sinfo=TTEST_SINFO,
                 calculate_sep=False)
 
+    def testPCABig(self):
+        infile = testfile('tax_filt_out.tab')
+        sampfile = testfile('rudney_samples.tab')
+        run_viz('pca', self.img, infile,
+                sinfo=sampfile,
+                calculate_sep=True)
+
     def testFtDist(self):
         infile = testfile('ft_out.tab')
         run_viz('ft_dist', self.img, infile,

From 7d5e63c5ca613f2f9cc5b9682a7db7e5a2a33dc6 Mon Sep 17 00:00:00 2001
From: Caleb Easterly <caleb.easterly@gmail.com>
Date: Thu, 28 Mar 2019 17:50:59 -0500
Subject: [PATCH 06/23] update dependencies and fix pca error (coming from r >
 3.5?)

---
 dev_environment.yml        | 21 +++++++++++----------
 metaquantome/modules/viz.R |  2 +-
 2 files changed, 12 insertions(+), 11 deletions(-)

diff --git a/dev_environment.yml b/dev_environment.yml
index 9ec7ec0..37149f8 100644
--- a/dev_environment.yml
+++ b/dev_environment.yml
@@ -5,14 +5,15 @@ channels:
 - conda-forge
 - r
 dependencies:
-- python==3.5.*
-- ete3==3.1.1
-- goatools==0.7.11
-- statsmodels==0.8.0
-- biopython==1.70
+- python>=3
+- ete3==3.1.*
+- goatools==0.7.*
+- statsmodels==0.8.*
+- biopython==1.73.*
 - pandas==0.23.*
-- r-gplots==3.0.1
-- r-ggplot2
-- r-base==3.4.*
-- r-jsonlite=1.5
-- libiconv
+- numpy 1.15.*
+- r-gplots==3.0.*
+- r-ggplot2==3.0.*
+- r-base==3.5.1
+- r-jsonlite=1.5.*
+- libiconv 1.15.*
diff --git a/metaquantome/modules/viz.R b/metaquantome/modules/viz.R
index b994bf4..8d67b71 100644
--- a/metaquantome/modules/viz.R
+++ b/metaquantome/modules/viz.R
@@ -301,7 +301,7 @@ sep_n <- function(clust){
         dists[i] <- sum((means[[comb[1]]] - means[[comb[2]]])^2)
     }
     avg_dist <- mean(dists)
-    within_variance <- sapply(1:nclust, function(i) mean((clust[[i]] - means[[i]])^2))
+    within_variance <- sapply(1:nclust, function(i) mean(data.matrix((clust[[i]] - means[[i]])^2)))
     avg_dist / sum(within_variance)
 }
 

From 3a9730f7fb39c4e65e636e8b086bd463853b9b38 Mon Sep 17 00:00:00 2001
From: Caleb Easterly <caleb.easterly@gmail.com>
Date: Fri, 29 Mar 2019 16:24:49 -0500
Subject: [PATCH 07/23] fix tabfile bug

---
 .gitignore                              |   3 +++
 metaquantome/cli.py                     |   3 ++-
 metaquantome/data/test/cli_bar_viz.png  | Bin 28479 -> 28630 bytes
 metaquantome/data/test/cli_bar_viz2.png | Bin 0 -> 28630 bytes
 tests/travis/testCLI.py                 |  19 +++++++++++++++++++
 5 files changed, 24 insertions(+), 1 deletion(-)
 create mode 100644 metaquantome/data/test/cli_bar_viz2.png

diff --git a/.gitignore b/.gitignore
index dbecdf1..c58362e 100644
--- a/.gitignore
+++ b/.gitignore
@@ -2,6 +2,9 @@
 metaquantome/data/test/taxa.sqlite
 metaquantome/data/test/taxa.sqlite.traverse.pkl
 
+# sometimes ggplot makes empty Rplots.pdf
+Rplots.pdf
+
 # Byte-compiled / optimized / DLL files
 __pycache__/
 *.py[cod]
diff --git a/metaquantome/cli.py b/metaquantome/cli.py
index 69ec62a..0acc4df 100755
--- a/metaquantome/cli.py
+++ b/metaquantome/cli.py
@@ -61,7 +61,8 @@ def cli():
                 id=args.id,
                 target_onto=args.target_onto,
                 width=args.width,
-                height=args.height)
+                height=args.height,
+                tabfile=args.tabfile)
     else:
         ValueError('incorrect mode. please provide one of "db", "expand", "filter", "stat", or "viz".')
     sys.exit(0)
diff --git a/metaquantome/data/test/cli_bar_viz.png b/metaquantome/data/test/cli_bar_viz.png
index 72e08c0981feb4ee6a3cc3c8f6cc3c324df105ad..57f4dadd3bb2231255280ee9d49b614981333a5f 100644
GIT binary patch
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HcmV?d00001

diff --git a/tests/travis/testCLI.py b/tests/travis/testCLI.py
index 1fe175c..e060752 100644
--- a/tests/travis/testCLI.py
+++ b/tests/travis/testCLI.py
@@ -2,6 +2,7 @@
 import unittest
 import pandas as pd
 import numpy as np
+import os
 
 from metaquantome.util.utils import TEST_DIR
 from metaquantome.util.testutils import testfile, TTEST_SINFO
@@ -57,6 +58,24 @@ def testViz(self):
         test_status = subprocess.call(cmd, shell=True)
         self.assertEqual(test_status, 0)
 
+    def testVizTabfile(self):
+        infile = testfile('taxonomy_write_simple.tab')
+        imgfile = testfile('cli_bar_viz2.png')
+        tabfile = testfile("tmp")
+        cmd = ' '.join([
+            'python3 metaquantome/cli.py viz -m t --plottype bar --infile',
+            infile,
+            '--img', imgfile,
+            """--samps '{"samp1": ["int"]}'""",
+            '--nterms 2 --meancol samp1_mean --target_rank genus',
+            '--tabfile', tabfile,
+        ])
+        test_status = subprocess.call(cmd, shell=True)
+        self.assertEqual(test_status, 0)
+        nline = subprocess.run(['wc', '-l', tabfile], stdout=subprocess.PIPE)
+        self.assertEqual(b'3', nline.stdout.strip().split()[0])
+        os.remove(tabfile)
+
     def testHeatmapViz(self):
         infile = testfile('ec_ttest_tested.tab')
         imgfile = testfile('cli_heatmap_viz.png')

From 3d2c7822d6e1728ee38dd8ed12ad204f8418cdc7 Mon Sep 17 00:00:00 2001
From: Caleb Easterly <caleb.easterly@gmail.com>
Date: Fri, 29 Mar 2019 16:25:28 -0500
Subject: [PATCH 08/23] rotate x axis text more

---
 metaquantome/data/test/cli_bar_viz.png  | Bin 28630 -> 29270 bytes
 metaquantome/data/test/cli_bar_viz2.png | Bin 28630 -> 29270 bytes
 metaquantome/modules/viz.R              |   6 ++++--
 3 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/metaquantome/data/test/cli_bar_viz.png b/metaquantome/data/test/cli_bar_viz.png
index 57f4dadd3bb2231255280ee9d49b614981333a5f..8892ada00d7b162568bc723f74753f82becccadc 100644
GIT binary patch
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diff --git a/metaquantome/modules/viz.R b/metaquantome/modules/viz.R
index 8d67b71..c3ee093 100644
--- a/metaquantome/modules/viz.R
+++ b/metaquantome/modules/viz.R
@@ -16,6 +16,8 @@ suppressMessages(library(stringr))
 grp_color_values <- c("dodgerblue", "darkorange",
     "yellow2", "red2", "darkviolet", "black")
 
+X_AXIS_ROT <- 60
+
 ####### ==================== #######
 #         UTILITY FUNCTIONS        #
 ####### ==================== #######
@@ -133,7 +135,7 @@ mq_barplot <- function(df, img, mode, meancol,
                     y = as.name(meancol)), stat = "identity", fill = barcol, col = "black") +
       theme_bw() +
       labs(x = xlab, y = "Total Peptide Intensity") +
-      theme(axis.text.x = element_text(angle = 45, hjust = 1))
+      theme(axis.text.x = element_text(angle = X_AXIS_ROT, hjust = 1))
     ggsave(img, height = height, width = width, units = "in")
 
     # write tabfile
@@ -558,7 +560,7 @@ mq_ft_dist <- function(df, img, whichway, name, id, meancol,
                       y = as.name("props")), stat = "identity", fill = barcol, col = "black") +
         theme_bw() +
         labs(x = xlab, y = "Proportion of Peptide Intensity") +
-        theme(axis.text.x = element_text(angle = 45, hjust = 1))
+        theme(axis.text.x = element_text(angle = X_AXIS_ROT, hjust = 1))
     ggsave(img, height = height, width = width, units = "in")
 
     # write tabular data

From 74d8a6175731ad01bef91d723716342dd3b3e993 Mon Sep 17 00:00:00 2001
From: Caleb Easterly <caleb.easterly@gmail.com>
Date: Fri, 29 Mar 2019 16:25:42 -0500
Subject: [PATCH 09/23] fix data frame - probably due to new pandas

---
 tests/travis/testAnnotationHierarchy.py | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/tests/travis/testAnnotationHierarchy.py b/tests/travis/testAnnotationHierarchy.py
index eae3954..f5d86c1 100644
--- a/tests/travis/testAnnotationHierarchy.py
+++ b/tests/travis/testAnnotationHierarchy.py
@@ -173,8 +173,10 @@ def testToDataframe(self):
                                        '1.1.4.1',
                                        '1.1.4.2',
                                        '6.-.-.-',
-                                       '6.5.-.-']).sort_index()
-        df = ah.to_dataframe().sort_index()
+                                       '6.5.-.-']).sort_index(axis=0).sort_index(axis=1)
+        df = ah.to_dataframe().sort_index(axis=0).sort_index(axis=1)
+        print(df)
+        print(exp_df)
         self.assertTrue(df.equals(exp_df))
 
 

From f32107820a9d0f88e63dfe1a713fa5e0a941aa99 Mon Sep 17 00:00:00 2001
From: Caleb Easterly <caleb.easterly@gmail.com>
Date: Fri, 29 Mar 2019 16:37:18 -0500
Subject: [PATCH 10/23] pull out obo download links

---
 metaquantome/databases/GeneOntologyDb.py | 13 +++++++------
 1 file changed, 7 insertions(+), 6 deletions(-)

diff --git a/metaquantome/databases/GeneOntologyDb.py b/metaquantome/databases/GeneOntologyDb.py
index 7ed7492..d89e93b 100644
--- a/metaquantome/databases/GeneOntologyDb.py
+++ b/metaquantome/databases/GeneOntologyDb.py
@@ -4,6 +4,9 @@
 
 from metaquantome.util.utils import safe_cast_to_list, stream_to_file_from_url
 
+FULL_OBO_URL = 'http://purl.obolibrary.org/obo/go/go-basic.obo'
+SLIM_OBO_URL = 'http://current.geneontology.org/ontology/subsets/goslim_metagenomics.obo'
+
 
 class GeneOntologyDb:
     # the three "namespaces", or "ontologies"
@@ -59,13 +62,11 @@ def download_go(data_dir, overwrite):
             logging.info('GO files exist in specified directory ' +
                          'and --update was not provided. Doing nothing.')
         else:
-            full_obo_url = 'http://purl.obolibrary.org/obo/go/go-basic.obo'
-            logging.info('Downloading full GO obo file from ' + full_obo_url + ' to ' + obo_path)
-            stream_to_file_from_url(full_obo_url, obo_path)
+            logging.info('Downloading full GO obo file from ' + FULL_OBO_URL + ' to ' + obo_path)
+            stream_to_file_from_url(FULL_OBO_URL, obo_path)
 
-            slim_obo_url = 'http://current.geneontology.org/ontology/subsets/goslim_metagenomics.obo'
-            logging.info('Downloading generic slim GO obo file from ' + slim_obo_url + ' to ' + slim_path)
-            stream_to_file_from_url(slim_obo_url, slim_path)
+            logging.info('Downloading generic slim GO obo file from ' + SLIM_OBO_URL + ' to ' + slim_path)
+            stream_to_file_from_url(SLIM_OBO_URL, slim_path)
 
     @staticmethod
     def _load_go_db(data_dir, slim_down):

From 326139b4c9c165d40cfc47aabc06c645a5d067b1 Mon Sep 17 00:00:00 2001
From: Caleb Easterly <caleb.easterly@gmail.com>
Date: Thu, 28 Mar 2019 14:49:49 -0500
Subject: [PATCH 11/23] additional viz tests

---
 metaquantome/data/test/cli_bar_viz.png | Bin 0 -> 28479 bytes
 metaquantome/data/test/test.png        | Bin 0 -> 21109 bytes
 tests/travis/testCLI.py                |  14 ++++++++++++++
 3 files changed, 14 insertions(+)
 create mode 100644 metaquantome/data/test/cli_bar_viz.png
 create mode 100644 metaquantome/data/test/test.png

diff --git a/metaquantome/data/test/cli_bar_viz.png b/metaquantome/data/test/cli_bar_viz.png
new file mode 100644
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literal 0
HcmV?d00001

diff --git a/tests/travis/testCLI.py b/tests/travis/testCLI.py
index 133a520..5ddd9f8 100644
--- a/tests/travis/testCLI.py
+++ b/tests/travis/testCLI.py
@@ -43,6 +43,20 @@ def testMultipleInt(self):
         self.assertTrue(test_df['corrected_p']['C'] > 0.05)
         self.assertTrue(test_df['corrected_p'][['N','D']].le(0.05).all())
 
+    def testViz(self):
+        infile = testfile('taxonomy_write_simple.tab')
+        imgfile = testfile('cli_bar_viz.png')
+        cmd = ' '.join([
+            'python3 metaquantome/cli.py viz -m t --plottype bar --infile',
+            infile,
+            '--img',
+            imgfile,
+            """--samps '{"samp1": ["int"]}'""",
+            '--nterms 2 --meancol samp1_mean --target_rank genus'
+        ])
+        test_status = subprocess.call(cmd, shell=True)
+        self.assertEqual(test_status, 0)
+
 
 if __name__ == '__main__':
     unittest.main()

From 0f42b72a69277c009a483d05055e946a465787e9 Mon Sep 17 00:00:00 2001
From: Caleb Easterly <caleb.easterly@gmail.com>
Date: Thu, 28 Mar 2019 15:55:58 -0500
Subject: [PATCH 12/23] fix bar filtering bug

---
 metaquantome/modules/viz.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/metaquantome/modules/viz.R b/metaquantome/modules/viz.R
index 82747fd..b90aad8 100644
--- a/metaquantome/modules/viz.R
+++ b/metaquantome/modules/viz.R
@@ -160,7 +160,7 @@ barplot_cli <- function(args){
     df <- read_result(infile)
     mode <- args[4]
     meancol <- args[5]
-    nterms <- args[6]
+    nterms <- as.numeric(args[6])
     width <- as.numeric(args[7])
     height <- as.numeric(args[8])
     target_rank <- args[9]

From 94dddc25cba9b34d845dfb2e7dde412796efcd73 Mon Sep 17 00:00:00 2001
From: Caleb Easterly <caleb.easterly@gmail.com>
Date: Thu, 28 Mar 2019 16:29:26 -0500
Subject: [PATCH 13/23] fix filter_to_sig bug and add test

---
 metaquantome/data/test/cli_heatmap_viz.png | Bin 0 -> 26993 bytes
 metaquantome/data/test/rudney_samples.tab  |   3 +
 metaquantome/data/test/tax_filt_out.tab    |  93 +++++++++++++++++++++
 metaquantome/modules/viz.R                 |   2 +-
 tests/travis/testCLI.py                    |  14 ++++
 5 files changed, 111 insertions(+), 1 deletion(-)
 create mode 100644 metaquantome/data/test/cli_heatmap_viz.png
 create mode 100644 metaquantome/data/test/rudney_samples.tab
 create mode 100644 metaquantome/data/test/tax_filt_out.tab

diff --git a/metaquantome/data/test/cli_heatmap_viz.png b/metaquantome/data/test/cli_heatmap_viz.png
new file mode 100644
index 0000000000000000000000000000000000000000..45a4520941a891848eda3fdb5813aac6faa3f49c
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diff --git a/metaquantome/data/test/rudney_samples.tab b/metaquantome/data/test/rudney_samples.tab
new file mode 100644
index 0000000..f3558e7
--- /dev/null
+++ b/metaquantome/data/test/rudney_samples.tab
@@ -0,0 +1,3 @@
+group	colnames
+NS	X730NS,X733NS,X734NS,X737NS,X760NS,X769NS,X781NS,X795NS,X852NS,X861NS,X866NS,X867NS
+WS	X730WS,X733WS,X734WS,X737WS,X760WS,X769WS,X781WS,X795WS,X852WS,X861WS,X866WS,X867WS
diff --git a/metaquantome/data/test/tax_filt_out.tab b/metaquantome/data/test/tax_filt_out.tab
new file mode 100644
index 0000000..987c7d3
--- /dev/null
+++ b/metaquantome/data/test/tax_filt_out.tab
@@ -0,0 +1,93 @@
+id	taxon_name	rank	NS_mean	WS_mean	X730NS	X730WS	X733NS	X733WS	X734NS	X734WS	X737NS	X737WS	X760NS	X760WS	X769NS	X769WS	X781NS	X781WS	X795NS	X795WS	X852NS	X852WS	X861NS	X861WS	X866NS	X866WS	X867NS	X867WS	X730NS_n_peptide	X730WS_n_peptide	X733NS_n_peptide	X733WS_n_peptide	X734NS_n_peptide	X734WS_n_peptide	X737NS_n_peptide	X737WS_n_peptide	X760NS_n_peptide	X760WS_n_peptide	X769NS_n_peptide	X769WS_n_peptide	X781NS_n_peptide	X781WS_n_peptide	X795NS_n_peptide	X795WS_n_peptide	X852NS_n_peptide	X852WS_n_peptide	X861NS_n_peptide	X861WS_n_peptide	X866NS_n_peptide	X866WS_n_peptide	X867NS_n_peptide	X867WS_n_peptide	X730NS_n_samp_children	X730WS_n_samp_children	X733NS_n_samp_children	X733WS_n_samp_children	X734NS_n_samp_children	X734WS_n_samp_children	X737NS_n_samp_children	X737WS_n_samp_children	X760NS_n_samp_children	X760WS_n_samp_children	X769NS_n_samp_children	X769WS_n_samp_children	X781NS_n_samp_children	X781WS_n_samp_children	X795NS_n_samp_children	X795WS_n_samp_children	X852NS_n_samp_children	X852WS_n_samp_children	X861NS_n_samp_children	X861WS_n_samp_children	X866NS_n_samp_children	X866WS_n_samp_children	X867NS_n_samp_children	X867WS_n_samp_children
+157	Treponema	genus	22.4592368471399	23.251641665456614	21.782210465654984	22.293663201701612	19.506474847066862	18.393389679254238	21.31060467932299	21.728055628093554	20.480986062363687	22.602867980613627	23.203993721974225	23.566696765176243	22.313857374707805	25.335612959036755	24.564206593926965	23.758132985051397	21.865153582932077	21.378622826723475	22.004619704258204	23.01330290131711	21.929889350172612	22.77047366650371	22.145836211855425	22.482730706742693	22.080359413733433	23.436551973678235	9.0	3.0	2.0	2.0	6.0	11.0	8.0	10.0	10.0	10.0	7.0	5.0	15.0	9.0	4.0	6.0	8.0	13.0	12.0	6.0	5.0	5.0	14.0	8.0	5.0	2.0	2.0	1.0	4.0	6.0	4.0	4.0	5.0	5.0	4.0	2.0	4.0	3.0	3.0	1.0	4.0	3.0	5.0	3.0	3.0	2.0	6.0	4.0
+194	Campylobacter	genus	22.737726781977898	23.402014527754694	19.374983778535537	20.606446832930114	22.374052312423657	22.175914745445667	20.710711088017703	21.497720060388442	21.935778024142905	21.360868814816588	19.67510328882646	18.442382745355207	21.21818802567592	18.98249372666148	25.95861986611441	24.365465047288765	19.540072068600086	22.271211580494718	17.998259192791753	26.353858284366478	18.911902395646823	20.233239126385538	19.83361162568149	19.261402979800614	20.129527247691183	22.479579021998745	3.0	5.0	2.0	5.0	2.0	7.0	25.0	5.0	7.0	4.0	17.0	3.0	209.0	8.0	4.0	9.0	4.0	8.0	3.0	5.0	7.0	4.0	7.0	6.0	2.0	2.0	2.0	3.0	2.0	4.0	2.0	3.0	2.0	2.0	3.0	2.0	4.0	4.0	2.0	3.0	2.0	4.0	2.0	3.0	2.0	2.0	2.0	4.0
+286	Pseudomonas	genus	22.84530963528067	20.941262344966102	19.390653532195216	21.257892314732068	23.40900039680405	21.249447306145736	22.85533086446144	17.189270329854693	21.43373289557238	18.940290665716923	21.2755581152792	21.78465732920301	19.42254043551283	17.888724701002317	22.016714341281943	20.86953224363516	18.685241717022148	22.54333528743205	20.234005329853034	18.807506861121887	23.765290496984004	16.805950901945454	25.39397860675149	22.523625447598253	19.404033335324762	14.425011898222733	2.0	4.0	2.0	7.0	11.0	3.0	4.0	6.0	7.0	4.0	4.0	2.0	16.0	8.0	2.0	7.0	5.0	5.0	6.0	3.0	6.0	4.0	5.0	1.0	1.0	1.0	1.0	2.0	3.0	0.0	2.0	2.0	2.0	2.0	2.0	0.0	3.0	3.0	2.0	3.0	3.0	1.0	2.0	0.0	3.0	0.0	2.0	1.0
+356	Rhizobiales	order	24.69225559146653	24.47928415080033	24.213805954712	26.19612910182332	23.852474395772273	20.88389298705434	24.072293206158825	24.6359011866213	23.253772028711925	23.84124611127577	25.211843229277033	23.37465798633904	24.971694694445382	23.732993264497427	25.466853125051237	22.51337324493513	23.333984301104184	22.80206380634942	24.48437767254155	26.428256133544647	25.06992046020705	22.354137707550283	23.963063933116196	23.69000244474017	25.821578844423875	23.678835807279214	18.0	10.0	13.0	10.0	12.0	24.0	14.0	11.0	12.0	15.0	20.0	7.0	21.0	13.0	17.0	17.0	18.0	17.0	16.0	11.0	15.0	10.0	21.0	9.0	5.0	4.0	5.0	4.0	5.0	5.0	4.0	5.0	4.0	5.0	5.0	4.0	4.0	4.0	5.0	5.0	5.0	5.0	3.0	4.0	3.0	4.0	5.0	5.0
+481	Neisseriaceae	family	28.278684423613377	23.578683124887306	26.27962488726382	21.380348299519405	20.265011634052573	23.91010523361957	25.25318938906157	23.33599556737296	29.37660244007165	24.118713642422897	29.314496888630167	24.155079469088264	27.84869359057641	23.955877447655148	26.053970602682014	22.206147855022408	26.13696167363647	24.218827734120907	30.53641005463977	21.765106446060415	28.26090482862355	24.25663214471386	27.118776073693013	23.408432498906212	23.31084301358886	23.098763696810842	97.0	4.0	2.0	9.0	49.0	28.0	726.0	27.0	710.0	13.0	373.0	5.0	12.0	14.0	90.0	13.0	1287.0	21.0	213.0	11.0	241.0	7.0	21.0	10.0	3.0	2.0	1.0	1.0	4.0	3.0	4.0	4.0	4.0	3.0	4.0	1.0	3.0	3.0	5.0	2.0	4.0	4.0	3.0	3.0	3.0	3.0	3.0	3.0
+482	Neisseria	genus	24.71621468525704	23.337955500492267	25.22309054267125	21.27224809407663	20.265011634052573	23.91010523361957	24.83614617766947	22.69211027879855	25.957369156876148	23.447797104924483	23.198609553932194	24.068317670999303	22.181396494802414	23.955877447655148	22.066815581067022	21.790934894894853	22.16909502782755	23.750883107517165	22.02401378621116	18.976851915575853	27.235996366157107	24.242623237623764	22.149900827393424	23.36408698820687	22.176120891701288	22.922522172295945	8.0	3.0	2.0	9.0	14.0	9.0	17.0	7.0	8.0	5.0	5.0	5.0	10.0	6.0	6.0	11.0	11.0	2.0	14.0	8.0	11.0	3.0	9.0	6.0	5.0	2.0	1.0	2.0	6.0	3.0	6.0	3.0	4.0	2.0	2.0	3.0	5.0	3.0	4.0	5.0	3.0	0.0	6.0	5.0	2.0	3.0	3.0	3.0
+543	Enterobacteriaceae	family	24.541968063151693	21.658968255049587	21.19265183166299	18.778936903337087	24.406801994236776	23.28442984893313	23.565360578028603	18.647425082748057	22.52171584507061	21.749320324152237	22.94629599899497	20.370563882738377	23.199160672801856	0.0	21.860089648679182	21.406910140003635	22.45005193311192	18.22017707724	27.46551744983655	23.23134237340219	23.874976207065192	20.725397072832983	23.600296651876587	18.767739575829392	23.159442610674034	22.351852296751414	2.0	1.0	4.0	10.0	7.0	4.0	9.0	4.0	6.0	7.0	5.0	0.0	5.0	5.0	6.0	2.0	105.0	20.0	12.0	3.0	7.0	5.0	6.0	6.0	1.0	0.0	2.0	2.0	3.0	2.0	3.0	3.0	3.0	2.0	3.0	0.0	3.0	2.0	3.0	1.0	6.0	3.0	4.0	2.0	2.0	2.0	3.0	4.0
+712	Pasteurellaceae	family	31.441294316475755	27.74864490019109	29.186498614844197	24.175578246391566	20.481583297401627	23.245302539966644	31.583394496968175	21.698805801380452	29.96654214760159	27.07213567688964	31.955129148166925	30.174952383067087	32.27989011421659	22.352338789441013	30.13364856738205	20.78538869183005	31.112307496041588	20.460584339542226	21.458170300521843	22.62062069831925	32.657844295582144	20.198224624491434	32.52950443661703	20.147792757000985	31.98671859933514	30.279393705211056	720.0	6.0	5.0	7.0	2095.0	5.0	1561.0	283.0	3118.0	1510.0	3361.0	22.0	1385.0	7.0	1680.0	4.0	8.0	15.0	3861.0	10.0	3318.0	6.0	2964.0	1458.0	3.0	2.0	3.0	3.0	5.0	2.0	5.0	2.0	5.0	4.0	4.0	3.0	3.0	2.0	4.0	2.0	2.0	3.0	6.0	2.0	4.0	2.0	6.0	3.0
+724	Haemophilus	genus	30.633565686404708	26.78504454278037	28.15635491432493	19.097778815906945	19.801043329740427	22.699002230428377	30.696290588311548	19.267556299527367	28.377726580090137	26.090131050046725	31.173798924853052	29.27754849809542	31.587863825191196	20.517951715030623	27.389664555662584	16.623296772427086	30.413699464304038	17.173396989578702	18.253885767449745	20.76344889241335	31.866468235701703	19.273283692091912	31.886296430568155	20.07315915414024	31.195747151301017	29.280733892382198	386.0	2.0	2.0	3.0	1255.0	1.0	547.0	142.0	1933.0	933.0	2106.0	8.0	275.0	1.0	981.0	1.0	3.0	7.0	2401.0	5.0	2049.0	4.0	1815.0	890.0	3.0	2.0	0.0	1.0	5.0	1.0	5.0	1.0	5.0	3.0	3.0	1.0	3.0	1.0	4.0	1.0	2.0	2.0	5.0	3.0	3.0	2.0	4.0	4.0
+729	Haemophilus parainfluenzae	species	30.483809499340683	26.88190900155309	27.94881799135177	0.0	0.0	0.0	30.317166206364732	19.267556299527367	28.10194484715981	25.817816232951554	30.951713518290234	28.998574612215805	31.29314277993099	19.727116817995146	26.90531617895009	0.0	30.03412076270724	17.173396989578702	15.925085533858454	19.411511638870753	31.634733122446928	14.273633190572465	31.67387434359899	19.507391925664596	30.852348459049548	28.93838188002522	317.0	0.0	0.0	0.0	874.0	1.0	436.0	114.0	1593.0	769.0	1732.0	4.0	191.0	0.0	796.0	1.0	1.0	4.0	1954.0	1.0	1666.0	1.0	1492.0	730.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+836	Porphyromonas	genus	22.314663934914797	21.739378366869417	19.457852049351906	12.604829145488758	20.5088584349098	19.75295348466535	21.600795502879297	14.820205941276624	21.015476498022714	24.619548910204955	23.102133944442386	0.0	22.250024774926313	18.094932479000022	22.960257356576573	21.698467805518185	24.00559645561271	21.306319139121296	20.241884890424398	19.721662751642615	22.144145432202716	19.89403848454665	22.030296485101942	21.62401734479089	22.500284934296726	18.84113705921046	2.0	1.0	5.0	4.0	7.0	1.0	11.0	3.0	29.0	0.0	6.0	3.0	14.0	6.0	6.0	2.0	8.0	4.0	7.0	4.0	3.0	8.0	11.0	2.0	2.0	1.0	3.0	1.0	3.0	0.0	3.0	0.0	4.0	0.0	3.0	2.0	5.0	3.0	2.0	1.0	3.0	1.0	3.0	2.0	1.0	3.0	5.0	1.0
+838	Prevotella	genus	24.779533700933218	24.224746990564395	24.864924216372472	23.76769396904597	22.83964974374393	23.70571512848364	25.162777195979377	25.87563785905976	24.55749376198101	25.21654545207315	25.67054921628861	24.242857063462967	23.988440808284405	22.65837266342718	25.050085335301286	24.178145950063893	24.98104144218843	23.706176617830877	26.01228536130151	23.28318812598716	24.16407036110283	23.76180551573891	23.477545774310087	23.31368399815167	23.13465667324952	23.603736285902077	27.0	13.0	22.0	29.0	67.0	32.0	48.0	33.0	80.0	25.0	27.0	18.0	46.0	31.0	101.0	15.0	74.0	27.0	23.0	20.0	14.0	21.0	27.0	23.0	13.0	7.0	10.0	17.0	13.0	15.0	14.0	18.0	19.0	10.0	15.0	11.0	22.0	13.0	20.0	9.0	17.0	13.0	13.0	10.0	10.0	12.0	12.0	13.0
+848	Fusobacterium	genus	33.260032738456324	28.1393818636283	24.82396969202237	22.223031079414735	18.757365108484112	21.83776603700015	33.49153019943186	21.17155709124576	34.33053784446623	21.76843340276839	34.08178062471965	25.072176549690024	33.59801033231461	22.702945128317232	33.82259561590425	22.13646032418869	33.37214774541592	21.610208297868247	32.16245586391741	31.687010816730698	28.414312391218058	21.690785772577964	33.24879445906351	21.03304706311043	33.973111065586444	24.296925505408158	88.0	6.0	4.0	6.0	5612.0	13.0	9295.0	16.0	8036.0	87.0	6846.0	23.0	7227.0	25.0	4751.0	12.0	3263.0	3268.0	451.0	6.0	5646.0	10.0	7594.0	32.0	3.0	3.0	3.0	4.0	4.0	3.0	4.0	3.0	4.0	3.0	5.0	2.0	5.0	3.0	4.0	4.0	5.0	5.0	2.0	2.0	5.0	2.0	5.0	2.0
+860	Fusobacterium periodonticum	species	30.855884675432712	26.293912291406997	19.9171106473506	20.773884580224994	14.313058142651013	12.989974179912885	31.44662403708189	18.406725933432558	30.12281346629577	0.0	31.910273429691294	21.67445651075483	31.568124432243252	21.340478807551477	31.20533304378397	19.023150068983977	31.435646308250114	18.051095238878336	28.75514930662611	29.71272911465278	25.720972710951987	21.458003511442357	30.57477362519476	20.309010341109868	32.072137095025084	23.514992684441772	1.0	2.0	1.0	1.0	1865.0	2.0	1335.0	0.0	2619.0	12.0	2218.0	6.0	1713.0	6.0	1932.0	4.0	577.0	1162.0	45.0	2.0	1546.0	4.0	2946.0	7.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+970	Selenomonas	genus	22.3724799741853	22.15933658852583	21.963300777441653	17.208137383583722	20.333861429084816	21.270460533882996	22.13788696162601	19.992596292439803	21.933237414122384	22.65212395788333	20.976140144858444	21.638530409325842	23.300038455562106	20.766927720185603	22.967119711570913	19.82187382226865	23.147715738622747	22.41575177124401	21.59776320835864	18.70101141996511	20.42455132913531	24.1302875195938	23.594506080208067	23.493426491146998	21.9305742103157	21.82851483623139	6.0	2.0	8.0	6.0	7.0	7.0	11.0	5.0	8.0	6.0	10.0	2.0	10.0	5.0	6.0	8.0	5.0	5.0	5.0	7.0	8.0	5.0	5.0	5.0	3.0	2.0	4.0	3.0	2.0	2.0	3.0	2.0	3.0	4.0	4.0	2.0	2.0	3.0	3.0	3.0	2.0	4.0	3.0	3.0	4.0	4.0	1.0	3.0
+976	Bacteroidetes	phylum	27.338648935196012	24.90021601275218	25.038934253615786	23.91028211523684	24.90559350913217	24.394178592582673	28.133831352020536	26.001199177701398	26.976172022051703	26.00648185969772	28.70480521630881	24.379459248189306	24.71020487342673	23.4181187415076	26.28401895883711	24.869411218257962	26.701627462835578	24.416367670766416	29.53849071584869	23.93435843485798	24.997311829571156	25.894828778684825	25.65586046759748	24.21477788787849	24.41173330591233	24.20871126635878	38.0	21.0	46.0	43.0	428.0	47.0	270.0	48.0	592.0	37.0	52.0	37.0	110.0	62.0	254.0	35.0	677.0	48.0	54.0	47.0	34.0	47.0	61.0	34.0	2.0	2.0	3.0	2.0	3.0	2.0	3.0	2.0	3.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	3.0	2.0	2.0	2.0
+1016	Capnocytophaga	genus	22.892465198715726	21.80085731644575	21.053214080296463	19.527095564878568	21.766979280790228	20.762297723012342	19.382691888774904	19.574810959356554	21.416867344273058	20.9705383493245	21.26824221259733	16.642544464854687	21.15750915513545	20.705471084734796	24.75630444764119	20.6627239228348	20.86264466806948	21.61179247491777	22.830053298414956	21.00531691515253	22.31380923223648	24.591113923764237	25.019608905828353	20.55101189639048	21.20096725036955	21.458159275750425	5.0	2.0	8.0	5.0	4.0	4.0	7.0	5.0	12.0	2.0	7.0	4.0	13.0	11.0	3.0	15.0	13.0	7.0	11.0	11.0	10.0	5.0	7.0	3.0	2.0	0.0	4.0	1.0	2.0	3.0	2.0	2.0	1.0	1.0	2.0	2.0	4.0	4.0	1.0	5.0	3.0	3.0	4.0	3.0	4.0	3.0	3.0	1.0
+1224	Proteobacteria	phylum	31.892207691960202	28.56258664410351	29.670936602377342	27.07663342666503	26.52476597022835	27.242114998921803	31.848763585965276	27.002544991698574	30.978218832588734	28.01059011342253	32.43664710871743	30.4746846953446	32.55942220175633	26.873410153458856	30.700969244803968	26.068939844784023	31.36234267733518	26.30743275083318	31.854969968535713	28.45389306942968	32.945913414608675	26.227194616146328	32.742403114749884	26.49805476402261	32.19104148297693	30.698790358922995	991.0	60.0	71.0	201.0	2537.0	117.0	2793.0	430.0	4455.0	1796.0	4296.0	82.0	1997.0	107.0	2105.0	89.0	2706.0	299.0	4675.0	78.0	4097.0	76.0	3463.0	1722.0	4.0	4.0	5.0	4.0	5.0	5.0	5.0	5.0	4.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0
+1236	Gammaproteobacteria	class	31.609618173469208	28.159745929918355	29.33425368641757	25.19882771954464	25.58779813317346	25.55394547749487	31.714968039121512	24.906182940800477	30.12998147203255	27.64195951583212	32.09913955069973	30.367193307164623	32.41163951065127	26.159178137633727	30.376576452515945	24.53079034470457	31.22515881236659	25.031866115024663	29.901091751542282	26.832191270093784	32.78746681928323	24.40853757880434	32.640388744801506	25.676355685078235	32.08805029750684	30.535136497955218	794.0	23.0	30.0	61.0	2325.0	23.0	1726.0	332.0	3399.0	1668.0	3647.0	39.0	1573.0	41.0	1842.0	25.0	516.0	138.0	4193.0	29.0	3600.0	25.0	3224.0	1584.0	5.0	4.0	7.0	8.0	5.0	5.0	4.0	4.0	6.0	4.0	5.0	5.0	5.0	6.0	7.0	6.0	7.0	5.0	8.0	5.0	8.0	5.0	6.0	6.0
+1239	Firmicutes	phylum	32.8736766661338	33.66237853269464	33.69016930460979	32.62624328331352	33.53086660947921	33.488495834215996	31.777665784494186	33.63284455044024	31.96642432948349	34.03395857615676	32.05513030713319	33.90182058360645	33.059269547447016	33.03670248595898	32.904701914721066	33.894717423454765	32.379543903664974	34.04101578601538	32.755337431850826	33.599182734527076	33.4834543670178	33.4951849051602	32.95411124819814	33.309432993241835	32.40021286145452	34.16644627435772	10275.0	6444.0	9446.0	9504.0	3911.0	11964.0	4299.0	12775.0	5154.0	11903.0	6972.0	8330.0	7275.0	13717.0	4671.0	13506.0	5653.0	10288.0	8982.0	10829.0	6534.0	10298.0	5938.0	13047.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0
+1279	Staphylococcus	genus	22.504836217201568	24.2116943040312	20.694710416791846	19.61303285745054	21.971053020451464	23.462151983875426	17.03965560835351	27.31545465303748	16.855670458851733	20.388204940174038	20.245270676492872	23.41799568332818	15.483717670905886	19.939700167610532	20.22959062212996	20.199881619489744	20.703740589815453	24.02758683585195	25.781963293923674	23.52857495811075	21.304721151492323	23.08806752761727	12.73341267074633	18.653546645321935	19.676983223933714	18.76617210937382	3.0	1.0	9.0	7.0	1.0	388.0	2.0	2.0	2.0	2.0	2.0	2.0	4.0	6.0	3.0	6.0	2.0	4.0	7.0	4.0	1.0	2.0	3.0	3.0	0.0	1.0	3.0	2.0	1.0	3.0	1.0	0.0	1.0	1.0	1.0	1.0	2.0	3.0	0.0	4.0	0.0	1.0	3.0	2.0	1.0	1.0	1.0	1.0
+1300	Streptococcaceae	family	31.04005087612557	32.68498796725018	32.609862959443326	32.40581955972505	32.88687007914666	33.25844138547374	29.10124143938986	32.2497422774349	29.50735112965809	31.899152761792777	29.753893142654942	32.64771091520379	30.996452852349922	32.18628414077014	30.45778959870371	33.34244970826108	29.295887914446197	33.14250137369812	29.794438742050534	32.60872343467933	31.53910080659905	32.7368262494867	25.84801538224936	32.48955082348738	30.347483581684266	32.49588742623676	4162.0	5424.0	5680.0	7959.0	909.0	5858.0	1058.0	4751.0	1210.0	5664.0	2039.0	4641.0	1834.0	8960.0	1037.0	7751.0	1225.0	5213.0	3137.0	7020.0	165.0	5599.0	1764.0	5387.0	2.0	2.0	3.0	3.0	2.0	2.0	2.0	2.0	2.0	2.0	1.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	1.0	2.0
+1301	Streptococcus	genus	31.01469481309256	32.64981560319793	32.594628090845504	32.37682293425312	32.85508231820879	33.21733933780535	29.059956722561694	32.21992690208474	29.48224296773229	31.867534112767018	29.738624303435802	32.627366326815284	30.976597527343827	32.162260562575824	30.43200484165762	33.29486634381768	29.270917315380736	33.09629726567616	29.771708351569877	32.59319300504715	31.501701851366764	32.686611907034745	25.758865776771692	32.45361268581817	30.33050572928465	32.468936592641285	4114.0	5346.0	5614.0	7843.0	892.0	5788.0	1034.0	4681.0	1194.0	5576.0	2013.0	4580.0	1807.0	8798.0	1017.0	7605.0	1204.0	5146.0	3100.0	6921.0	161.0	5496.0	1742.0	5318.0	18.0	22.0	23.0	29.0	13.0	25.0	15.0	24.0	10.0	24.0	14.0	17.0	18.0	25.0	15.0	27.0	13.0	19.0	18.0	27.0	10.0	24.0	13.0	26.0
+1302	Streptococcus gordonii	species	28.85237968021687	29.760937230244974	28.53827111953495	31.132118535383093	31.305034493857054	24.688124424794022	27.320041572326137	28.526342829550703	27.371729242798853	29.58092479361225	25.92917860441985	23.715443506227075	29.656540776408356	30.783266578966995	23.443382948031502	20.99416729999752	21.022409722612576	21.62670822451487	28.24760457024561	31.13941166466572	29.337710635229158	29.903056268442416	23.759856998951086	20.91000018064953	28.887578612597714	30.973813709441103	428.0	1732.0	1798.0	33.0	235.0	625.0	284.0	900.0	133.0	34.0	812.0	1549.0	19.0	6.0	5.0	4.0	336.0	1675.0	657.0	1017.0	25.0	7.0	618.0	1242.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+1303	Streptococcus oralis	species	23.103687126641674	26.421123666189605	24.61912812148962	25.4191738117239	22.83741174927149	23.79503117288109	20.511845294481713	27.751809251472487	21.0624171801586	25.592112990576066	18.52948119779141	25.223369787321488	23.071325203393823	27.394474312898854	25.441096830107032	26.185157966366702	21.90206814804163	25.40395342417414	23.076822389819213	25.187581485449915	20.321125468792413	25.43278217204217	20.17130216381177	27.882942315620696	20.208730319953485	26.15945706011016	33.0	105.0	10.0	28.0	5.0	283.0	5.0	92.0	3.0	83.0	12.0	250.0	86.0	134.0	6.0	109.0	20.0	61.0	5.0	71.0	8.0	345.0	6.0	105.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+1305	Streptococcus sanguinis	species	22.084393557448287	21.543042772459888	21.36579529548786	19.719668114416088	22.320823798040614	22.643663421336278	20.278320984565294	20.664730793226106	19.040350310186206	19.910519920985923	18.956045504304907	21.1468051800558	22.1221162795508	23.276498430748262	24.481868022663427	19.786276995071983	21.926674144905974	19.757490668956915	17.903478336199544	20.28856779076102	22.135070616245613	22.72707804372864	20.203375529145497	17.90055497494011	22.271601627561232	21.88110951058033	10.0	6.0	7.0	3.0	5.0	9.0	2.0	6.0	3.0	8.0	7.0	26.0	51.0	2.0	10.0	2.0	2.0	3.0	13.0	9.0	1.0	1.0	16.0	14.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+1311	Streptococcus agalactiae	species	18.98609386423588	22.435670696076226	19.705538493060285	19.866724796963357	19.87717613918613	22.052348066539125	15.755434014166319	19.861606748408253	18.3255267827667	22.129846557659008	0.0	23.926224685399628	19.761877246035052	19.07957760080053	18.918800653074136	19.835866407014574	17.19111895834796	24.273366933205637	20.45872207528365	20.463948127484954	18.687251597708613	22.592407061831786	15.964333114404075	23.142858080186855	15.570262626923569	21.246603232299112	4.0	5.0	3.0	11.0	1.0	3.0	2.0	8.0	0.0	8.0	3.0	3.0	2.0	3.0	2.0	8.0	7.0	4.0	3.0	10.0	1.0	12.0	1.0	7.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+1318	Streptococcus parasanguinis	species	26.962149454581645	29.77347730846411	22.254388267955566	27.519615988057442	29.706934990101185	31.87112960466156	24.137948969614506	30.2850772176896	22.395455813890393	29.091703869523233	25.736852436940907	25.951999594041354	24.013011494597315	22.921984850747556	20.036882766065236	30.76751633867441	22.074454889980803	28.732430133835745	25.022058035369948	28.46671810952836	29.025321974412705	30.675449775538844	18.086861982471326	26.056249100019127	22.10327445512197	28.924519217276195	13.0	363.0	895.0	3259.0	57.0	1653.0	6.0	731.0	81.0	160.0	15.0	7.0	6.0	1844.0	11.0	732.0	104.0	557.0	651.0	1718.0	1.0	145.0	10.0	664.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+1350	Enterococcus	genus	22.27148764597278	22.60823898801679	23.49244865513987	23.414903433927392	24.37240414458905	24.88758129438443	20.563847819772974	21.23085263188748	15.879527869127314	20.810965529539427	22.253746426035686	20.662757053309605	21.145709716920308	20.89407562036324	21.952434419232212	20.250939714506238	0.0	21.15425215203751	20.38601577727848	19.649999339047973	22.188939012514282	23.466747242375032	18.114370641945392	21.22022652485775	21.388841020817967	22.95889331744693	7.0	5.0	12.0	7.0	3.0	6.0	2.0	5.0	6.0	7.0	3.0	6.0	10.0	8.0	0.0	7.0	4.0	4.0	4.0	10.0	4.0	8.0	3.0	2.0	3.0	1.0	4.0	2.0	1.0	1.0	0.0	2.0	2.0	3.0	0.0	1.0	3.0	2.0	0.0	1.0	0.0	0.0	1.0	2.0	2.0	1.0	0.0	0.0
+1378	Gemella	genus	25.6133540618394	21.918625259677697	28.760626448341625	20.41322426632106	23.333333022799266	20.003995828313727	19.90422775729069	20.527718492251754	25.510355546708606	22.163763646723247	25.62404794257861	22.206253337039428	18.903083821154414	19.3596206262398	20.654536912649835	21.268488824221908	22.546789067843555	21.03102362468566	22.54662684659898	24.55047855317897	20.71466040340079	19.562486170931198	24.895473413820802	21.51242864044654	21.42190584800925	18.593800384965746	462.0	7.0	19.0	5.0	2.0	12.0	93.0	11.0	123.0	19.0	5.0	4.0	5.0	5.0	10.0	11.0	24.0	68.0	6.0	2.0	8.0	4.0	6.0	2.0	4.0	3.0	4.0	3.0	2.0	2.0	4.0	1.0	4.0	3.0	2.0	3.0	2.0	2.0	4.0	1.0	4.0	4.0	3.0	1.0	3.0	2.0	4.0	1.0
+1379	Gemella haemolysans	species	21.23498138826355	19.888989096460268	24.026460280557217	19.25690088310065	21.461104100412168	16.360685063329587	18.252897360743013	19.320146403281907	20.83444387435928	0.0	21.76639058315259	19.69094212846502	18.71824767235069	14.683182451613526	18.459232347117165	21.204617986474787	18.34889920793565	20.603755493146245	18.207569213169066	19.62422702667547	20.092575562598856	19.562486170931198	19.95234552377314	21.426359854585613	18.343004369723705	14.9377998094599	24.0	3.0	11.0	1.0	1.0	7.0	7.0	0.0	14.0	3.0	3.0	1.0	3.0	4.0	3.0	7.0	2.0	6.0	3.0	2.0	4.0	2.0	2.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+1385	Bacillales	order	24.31450553153779	25.008734255847454	25.28822550835564	20.707959028359284	24.69387466443483	24.169435697558235	23.61308130075852	27.52273977466577	21.516972851226935	23.243239824850136	22.027154603438888	25.381769739535198	22.673513107849807	22.29612650280037	22.006889052064412	21.66146406832213	25.290120538295522	25.423691851893306	26.19881248016323	25.2849004568186	23.476649782233142	24.8337371022627	22.731337682261547	22.66439917092921	23.794962592968396	22.766617061889285	65.0	8.0	49.0	29.0	20.0	425.0	15.0	11.0	12.0	59.0	18.0	16.0	14.0	18.0	28.0	28.0	18.0	58.0	31.0	16.0	11.0	13.0	30.0	18.0	4.0	4.0	4.0	4.0	4.0	4.0	4.0	4.0	2.0	4.0	4.0	3.0	4.0	4.0	4.0	4.0	4.0	4.0	4.0	4.0	3.0	4.0	3.0	4.0
+1386	Bacillus	genus	22.390261842416066	22.688987040206488	19.243823494685632	18.494430678443663	23.673701889661785	21.835916713384584	0.0	23.2697701491858	18.66114108601868	22.80835765154499	19.092334115651948	23.176607533078236	13.750619328106772	19.818513947198202	20.206225225812503	19.191061335834554	24.90131846933755	23.367187182139244	22.461385571401912	23.407185537846914	21.892479628979235	24.23550841128039	21.465448535380737	22.485399518658088	18.498578732509923	19.929664638158794	3.0	2.0	14.0	11.0	0.0	5.0	2.0	5.0	3.0	3.0	1.0	3.0	5.0	3.0	2.0	4.0	4.0	3.0	5.0	6.0	7.0	6.0	3.0	6.0	1.0	2.0	3.0	4.0	0.0	1.0	0.0	1.0	1.0	1.0	0.0	0.0	2.0	2.0	1.0	1.0	1.0	1.0	2.0	2.0	2.0	1.0	1.0	2.0
+1578	Lactobacillus	genus	26.071860645382763	25.568096193783536	24.955243331890227	25.48059171062802	26.51058429295185	25.789511042050158	24.879901672467714	25.605625452176	25.126308496781522	24.607981506134767	24.52549336749947	25.09562833236197	24.009828076042034	25.785009663772243	28.18169256677534	25.601076304089087	27.788601953171483	25.598898837645407	24.4281381490314	24.46636261221123	24.614094452157513	26.239658375885387	24.140176750234502	25.22455580361567	22.6771864744845	26.226254629652413	44.0	81.0	40.0	64.0	12.0	88.0	24.0	38.0	29.0	59.0	20.0	95.0	29.0	99.0	23.0	145.0	38.0	60.0	24.0	47.0	22.0	78.0	19.0	41.0	7.0	8.0	10.0	13.0	4.0	9.0	7.0	8.0	8.0	8.0	4.0	5.0	7.0	11.0	10.0	7.0	7.0	8.0	9.0	10.0	5.0	11.0	8.0	5.0
+1654	Actinomyces	genus	24.186775167248644	24.046008395481337	21.436497425347827	21.35726464049133	22.727963638349767	24.30393346415453	23.813928692372087	24.46769519564217	24.949064925240656	22.812891079116373	24.178836100997806	26.28469465184751	25.11847738730225	19.567109672861886	24.86658333250393	22.820264718767557	25.84948107081672	22.245288881120327	22.52942087091208	23.512077602775683	23.400161028066968	24.737482903760075	22.990279813841486	23.465078973056322	18.22351279328278	22.83174351327272	9.0	12.0	23.0	12.0	41.0	27.0	105.0	12.0	65.0	173.0	83.0	5.0	15.0	12.0	149.0	22.0	5.0	20.0	27.0	16.0	8.0	16.0	6.0	19.0	2.0	2.0	5.0	5.0	3.0	6.0	5.0	5.0	3.0	8.0	5.0	3.0	3.0	4.0	6.0	6.0	1.0	5.0	5.0	4.0	1.0	3.0	4.0	5.0
+1678	Bifidobacterium	genus	22.353720971584988	23.47870967318576	18.3037705453952	16.559828597820207	20.13808650068961	24.528518697911444	19.444983857317137	23.1157327242796	22.27217498859397	22.964407567595124	21.334052855932207	19.895832654670702	20.90924078052963	18.301882165044955	21.03544051153116	18.181828359032984	23.045206384851717	22.65742158570482	20.441309157371585	17.9742582317299	24.964188525311588	25.126513391517218	22.608544369152842	21.17334640664609	20.057970116311285	25.610765120525624	1.0	1.0	5.0	9.0	4.0	9.0	6.0	7.0	9.0	5.0	4.0	2.0	7.0	5.0	3.0	9.0	5.0	3.0	5.0	4.0	7.0	4.0	5.0	7.0	1.0	1.0	4.0	4.0	2.0	3.0	3.0	4.0	4.0	2.0	3.0	1.0	3.0	2.0	1.0	3.0	2.0	2.0	3.0	1.0	3.0	2.0	2.0	2.0
+1716	Corynebacterium	genus	19.65185673540829	21.57756655472318	20.929950766889448	23.496112309433205	21.571829845489287	21.965901017966942	17.405922968810152	20.984967900743197	19.42367690731129	16.589308606296402	19.02987659418039	17.341010261039525	19.31911366132168	20.55097487571144	19.991971172983934	20.469521757060512	19.54282728335913	19.25824536387525	17.064073537566106	20.585449285994773	18.326530102735376	22.907350021899205	15.7739178558193	19.305104629281303	18.51844693378233	22.413071916632973	3.0	5.0	5.0	6.0	4.0	4.0	7.0	1.0	3.0	2.0	2.0	2.0	5.0	4.0	3.0	3.0	1.0	5.0	3.0	3.0	3.0	5.0	2.0	3.0	2.0	3.0	4.0	4.0	2.0	3.0	2.0	1.0	2.0	2.0	1.0	1.0	3.0	2.0	1.0	2.0	1.0	4.0	3.0	2.0	3.0	3.0	1.0	2.0
+1760	Actinobacteria	class	25.261785195597287	25.45188012740324	23.28392993920096	24.41375518043643	24.193309541685853	25.850402581904234	25.230703099930604	26.25280024321639	25.417953809893014	24.95574655917325	25.416481505087553	26.500601824223498	25.54169295451973	22.85594879057879	25.762026309917736	24.65620397456923	26.336750211406297	24.171710429203305	25.26559006775672	24.664260014651216	25.549934931343433	26.241663865242156	24.928925280995944	24.481334113930515	23.57305628267159	26.220228670890926	26.0	31.0	47.0	40.0	63.0	60.0	144.0	41.0	97.0	199.0	107.0	21.0	55.0	49.0	177.0	57.0	29.0	43.0	52.0	46.0	31.0	47.0	30.0	48.0	5.0	5.0	6.0	5.0	5.0	5.0	6.0	5.0	6.0	5.0	6.0	5.0	5.0	5.0	6.0	5.0	6.0	5.0	6.0	5.0	5.0	5.0	5.0	6.0
+2049	Actinomycetaceae	family	24.4052734330324	24.096112449438987	21.436497425347827	21.44879501441038	22.75717010690801	24.30971578168578	23.99081221692431	24.47281775985615	24.988617839823963	22.964877150683268	24.531686245380264	26.29534468302179	25.209065289408844	19.567109672861886	25.001168464523	22.95968198794806	25.914886898293048	22.46881485593529	23.3414391350732	23.563135507044848	23.58141856381032	24.80262263953529	24.35153041772297	23.654072784049703	21.109901727125155	22.95239291241907	9.0	14.0	24.0	14.0	43.0	29.0	109.0	14.0	70.0	179.0	88.0	5.0	18.0	16.0	156.0	27.0	7.0	23.0	31.0	23.0	10.0	19.0	8.0	21.0	1.0	2.0	2.0	3.0	1.0	3.0	2.0	2.0	3.0	3.0	1.0	1.0	3.0	4.0	3.0	4.0	3.0	3.0	4.0	4.0	2.0	3.0	2.0	3.0
+9604	Hominidae	family	21.02639081751512	21.47137731428368	19.835687550792173	19.235849842127674	21.21850041695829	20.892304752239557	18.69596105486389	19.529188367382684	20.648681789072462	22.445627656935763	21.34826117846077	20.833283133869745	22.39919220880013	21.310178744271294	21.660591048302393	21.46973933348701	20.54082067870073	20.772858187361773	19.418424856873767	18.14854154719847	18.527321928103238	0.0	21.801556829368792	23.65289994089177	21.201032895763817	18.22327739211902	2.0	4.0	7.0	2.0	1.0	3.0	4.0	2.0	4.0	5.0	5.0	7.0	1.0	5.0	4.0	6.0	4.0	3.0	2.0	0.0	3.0	4.0	7.0	4.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	1.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+9823	Sus scrofa	species	24.325530922130195	23.846436743634786	21.525124696076894	22.65820462785136	26.21425713079269	25.805149815707477	16.947161661879772	22.01947510532796	20.78365479618668	21.303934895910462	19.81841381228513	20.68554365150032	19.46849896567394	20.232355441139045	25.102462889204503	25.3378750139005	16.266763617805463	22.63003957537136	20.572544371199964	22.57247809976349	26.35385306312357	25.245774664161292	25.38100421713942	23.057313352935637	19.443524406042066	21.15638321139795	4.0	4.0	4.0	5.0	1.0	4.0	2.0	4.0	2.0	3.0	2.0	3.0	3.0	4.0	1.0	4.0	3.0	4.0	4.0	6.0	3.0	4.0	3.0	3.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+28037	Streptococcus mitis	species	20.758135554369076	22.342678019707797	21.384789125260035	21.5801508626408	22.590498277612863	20.713498066835786	20.46452424646934	24.47148729929228	21.950858697898717	21.569320555632054	0.0	21.443309371972514	0.0	20.95190185328572	18.196632073302787	20.373402610241357	19.245083908608354	23.48234697022449	15.015716186425506	22.037946814037465	18.676141397081782	21.10454099859288	15.001173060415228	22.406070755226448	0.0	21.265781859281553	9.0	9.0	18.0	8.0	5.0	10.0	4.0	7.0	0.0	11.0	0.0	8.0	3.0	7.0	2.0	32.0	1.0	13.0	3.0	7.0	1.0	21.0	0.0	10.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+28211	Alphaproteobacteria	class	24.843979801359172	24.687782628609625	24.291366776127358	26.267154227776874	24.193702827431398	23.81830307582273	24.08945601860057	24.69689981823864	23.636747612507733	24.039137016229354	25.365056247247487	23.50528210503187	25.24564421004673	23.833856851886754	25.521092096773014	22.87263924560997	23.717634671415443	23.002667375007128	24.710919072579504	26.44185670736461	25.169515496158496	23.9069485362055	24.316568147124297	24.071684359175038	25.83190224931592	24.00615497515959	21.0	17.0	20.0	15.0	13.0	29.0	21.0	14.0	17.0	20.0	25.0	10.0	27.0	20.0	22.0	22.0	25.0	21.0	21.0	13.0	22.0	19.0	23.0	16.0	3.0	3.0	3.0	3.0	2.0	3.0	3.0	3.0	2.0	3.0	3.0	2.0	3.0	4.0	3.0	3.0	3.0	4.0	2.0	2.0	3.0	4.0	3.0	4.0
+28216	Betaproteobacteria	class	28.365589762410174	24.95624435514636	26.70830973075037	23.202543414618894	22.72383229268715	25.107843968543733	25.474667050899097	25.973721821719746	29.422079565055817	24.48036375340046	29.39425057189927	24.37786316114933	27.91539856595919	24.32607138884574	26.20337394589519	23.303154188443393	26.25740784636989	24.780784427485525	30.609906612580446	24.56892111059796	28.3353624874594	25.002599102659353	27.25374731669495	23.84324028856916	23.74780032312052	26.57470318031168	110.0	11.0	11.0	16.0	63.0	47.0	778.0	43.0	767.0	19.0	407.0	13.0	29.0	24.0	111.0	26.0	1362.0	30.0	247.0	20.0	272.0	19.0	32.0	26.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	3.0	2.0	2.0	2.0	2.0	2.0	3.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0
+29465	Veillonella	genus	31.51741114236677	32.03608823099034	31.44794850142426	21.920424571143013	22.917137539254288	24.537853786485925	30.867679214255126	32.43249337547586	31.098800056664324	33.32886885646381	30.88073964216912	32.71790402457994	32.240953502706944	31.180921691307464	31.36354351588361	31.31706940539739	31.59517955175147	32.35952816662651	31.782760168227693	31.93593078689545	32.316209587944776	31.517181716768423	32.2491774053091	30.65589677478536	31.209819106380106	33.171337938323944	2012.0	19.0	3.0	6.0	1742.0	4215.0	2066.0	6315.0	1939.0	4297.0	3629.0	2591.0	2158.0	2560.0	2230.0	4066.0	2239.0	3020.0	3244.0	2522.0	3306.0	1853.0	2275.0	5445.0	6.0	1.0	0.0	3.0	6.0	4.0	6.0	6.0	6.0	5.0	5.0	4.0	4.0	3.0	5.0	5.0	3.0	4.0	3.0	4.0	4.0	3.0	5.0	5.0
+29466	Veillonella parvula	species	26.64144708468867	26.51699061804681	26.42101398956705	16.280868019741273	0.0	19.051605191158107	23.755386065012196	23.493097904702605	26.246372376404683	27.48253283092882	25.94695331293173	27.983219986741535	28.086910393965677	26.666392770065123	25.78584089878417	22.212091721133838	22.630622638564052	21.53603931322741	26.210609374261985	28.110799028178157	27.69145569383316	25.22320693882585	27.77092978512921	25.018437850375747	24.854075080961515	27.643416490924192	86.0	1.0	0.0	1.0	19.0	12.0	41.0	123.0	75.0	238.0	203.0	127.0	61.0	12.0	12.0	9.0	87.0	202.0	157.0	42.0	144.0	43.0	35.0	127.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+31953	Bifidobacteriaceae	family	22.64944887784661	23.693497541685996	19.469895667416164	21.73079403254096	20.236411632356184	24.63433760685071	19.773023416140514	23.31077172841877	22.742871702863397	23.13717103620182	22.460207770912675	22.795339978636022	21.52805357248261	20.75725824186385	22.18978687601281	19.24967397617085	23.18389441332737	22.995068621031237	21.048718820118236	20.505393421591148	24.97509221402249	25.152210660399515	23.027340983988672	22.089917125077285	21.111974161261124	25.64208597505785	4.0	3.0	6.0	13.0	6.0	10.0	12.0	11.0	11.0	9.0	8.0	5.0	11.0	8.0	7.0	15.0	8.0	5.0	7.0	6.0	11.0	9.0	8.0	10.0	3.0	2.0	1.0	3.0	3.0	2.0	4.0	3.0	3.0	4.0	3.0	3.0	3.0	4.0	2.0	4.0	2.0	3.0	2.0	2.0	3.0	4.0	4.0	1.0
+31957	Propionibacteriaceae	family	21.420117504431342	20.43508681739084	16.212242558279947	20.434819144789536	19.62353400410344	14.34542634734169	22.29921219630499	19.48270199073928	20.90560869703989	19.904567366998325	19.76148318577329	20.147225793065914	21.520664559673087	19.89091200808486	23.917248674937106	20.669185113062465	20.41681446217276	19.905517349525923	20.41046116180066	21.150267373740714	18.32093135349848	21.733535309445653	19.165149549020907	21.475312292293967	21.07928029327072	18.404215135868174	3.0	3.0	4.0	2.0	4.0	3.0	6.0	4.0	3.0	2.0	3.0	2.0	7.0	7.0	2.0	3.0	5.0	2.0	4.0	5.0	1.0	4.0	5.0	3.0	1.0	1.0	1.0	1.0	2.0	2.0	3.0	2.0	2.0	1.0	2.0	1.0	2.0	2.0	2.0	2.0	2.0	1.0	1.0	1.0	1.0	2.0	2.0	1.0
+31977	Veillonellaceae	family	31.55422883515936	32.064476957953055	31.475066407636948	21.994981202058398	22.917137539254288	24.894640495397375	30.90576701665552	32.45874804192702	31.14089750696053	33.351668635776385	30.918531332268273	32.74875247294553	32.277121427969306	31.217093840249195	31.39922233336803	31.3399453773558	31.632520444887014	32.388153264905384	31.82280142955675	31.963678498646413	32.34839661710352	31.546331786704307	32.290185218811736	30.68905746899284	31.249914995611444	33.20309380171461	2054.0	21.0	3.0	11.0	1788.0	4315.0	2113.0	6429.0	1990.0	4384.0	3704.0	2656.0	2208.0	2616.0	2290.0	4155.0	2293.0	3088.0	3313.0	2575.0	3373.0	1903.0	2325.0	5552.0	3.0	3.0	1.0	4.0	3.0	3.0	4.0	3.0	3.0	4.0	3.0	4.0	3.0	3.0	3.0	3.0	4.0	4.0	3.0	3.0	3.0	4.0	3.0	3.0
+32067	Leptotrichia	genus	26.87632814454778	22.50000190099926	20.41915202655261	22.548175434284307	21.75481704538733	20.889089457754665	24.74362803489037	23.62924081984736	24.78100152146741	23.456139684618698	23.67536814704201	22.28197208537886	22.55474723729297	20.10088270561237	30.07369140951351	22.830757480537898	23.00086594252221	23.53024105479763	23.97688145462492	21.364600296866413	19.127315816790805	21.004873553053635	27.700807217006602	21.651412162634067	24.46957470186582	22.17169927331586	8.0	8.0	16.0	4.0	66.0	13.0	30.0	19.0	26.0	4.0	16.0	5.0	1139.0	13.0	12.0	13.0	29.0	11.0	5.0	8.0	329.0	5.0	70.0	9.0	2.0	3.0	3.0	2.0	3.0	3.0	4.0	4.0	4.0	1.0	3.0	2.0	4.0	3.0	2.0	3.0	3.0	3.0	2.0	1.0	3.0	1.0	4.0	3.0
+39777	Veillonella atypica	species	26.002488023033276	28.925868495933823	20.6761998000458	0.0	0.0	18.10802478874329	23.99943043031498	30.239989342660078	19.391663991645192	29.98281433518317	20.97014979705796	24.19409345213768	22.83305259476784	19.302196306310762	26.044295881103878	29.17207273344421	28.963819592958988	30.266802897339016	21.70656157400394	22.13097851384748	26.59247894482648	28.558288280585817	22.85144438487246	21.68586786054605	22.481599166783	29.839341828521427	5.0	0.0	0.0	2.0	39.0	1430.0	3.0	954.0	13.0	57.0	11.0	4.0	88.0	818.0	600.0	1552.0	7.0	10.0	162.0	560.0	12.0	11.0	19.0	1059.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+39778	Veillonella dispar	species	26.223378701671553	26.11167703484368	26.08278404275275	0.0	0.0	13.029746321026517	27.79440099897028	27.190720163792182	23.143826375099092	28.307297363059238	25.45620183967725	25.854832463254816	27.13709373727579	23.873104445490323	24.660054469635984	24.555019657307234	26.90324847802966	26.470024432946783	23.718629407595586	22.846539316525718	24.486096304662123	23.553245569432804	23.169684521384372	21.714073774277438	27.21978471054919	26.506144982823802	66.0	0.0	0.0	1.0	241.0	219.0	28.0	400.0	44.0	70.0	107.0	29.0	52.0	34.0	161.0	157.0	15.0	12.0	35.0	11.0	18.0	6.0	246.0	149.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+39948	Dialister	genus	20.475383719921755	20.77423450422444	16.14755331126001	16.679455493489307	0.0	20.34301271768824	20.423622827650842	20.5196389037728	19.602217640058395	19.78818965293884	22.581023552786373	17.5672443240445	20.542989433294977	19.301800789281412	15.167784462058275	19.143864930426513	18.647258818481387	23.572317187805066	17.29914637358995	18.055365450869978	18.684961946691388	20.70252303035901	19.339420927231227	19.86552772695589	22.024319443382158	19.696788689406528	2.0	1.0	0.0	2.0	2.0	5.0	5.0	4.0	5.0	1.0	3.0	2.0	2.0	3.0	2.0	3.0	2.0	4.0	3.0	5.0	1.0	2.0	5.0	3.0	1.0	1.0	0.0	1.0	1.0	2.0	2.0	2.0	2.0	1.0	1.0	2.0	2.0	2.0	2.0	2.0	1.0	2.0	2.0	2.0	1.0	2.0	2.0	2.0
+41294	Bradyrhizobiaceae	family	22.68855346088776	21.10269427606105	10.335010028729489	0.0	21.586389608802065	19.05512374600289	20.567796728098067	20.425337612916728	22.238123434013144	18.845590947142295	23.689646431081663	18.160633591557065	23.448265712814145	12.069416556937096	21.735823583265613	21.930058232906365	22.5525484038562	21.502669143571964	21.65479240074186	21.734472960448304	23.586109904221345	18.764671934011652	22.847554653730025	23.40615234648123	23.676256620282057	14.944293067625372	1.0	0.0	4.0	3.0	5.0	4.0	6.0	3.0	3.0	2.0	7.0	1.0	12.0	5.0	7.0	5.0	2.0	7.0	8.0	3.0	8.0	3.0	6.0	1.0	1.0	0.0	2.0	2.0	2.0	2.0	2.0	1.0	1.0	1.0	2.0	1.0	2.0	1.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	1.0
+45634	Streptococcus cristatus	species	27.623299015583054	27.07666527610429	30.714753250544852	21.796029113454708	25.231322576814772	23.3454071478401	19.655539820774482	21.797907814731666	23.89515170729949	21.295953737528727	27.251139198228298	30.607986765243503	21.021596665959045	19.642196472047246	27.344168383553786	23.374387728967587	26.85239266112148	24.047103674141464	18.193064632425898	22.443462288496534	19.79901201902825	20.60372598840745	0.0	20.302171068543924	20.575094716255347	21.878997811955017	1093.0	13.0	31.0	7.0	2.0	6.0	58.0	14.0	267.0	1175.0	7.0	5.0	183.0	12.0	227.0	35.0	1.0	10.0	5.0	4.0	0.0	6.0	4.0	7.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+46124	Granulicatella adiacens	species	28.90033745735379	27.24908936658999	29.951873876515926	25.99465838427973	30.197821691688706	24.661915250656772	27.263656180245608	24.353433039731478	25.21713849601449	26.643171410222074	27.163041514598042	26.98336423293744	26.576417364002374	23.562344737306482	28.57719089674505	27.491617296361532	25.978814533902213	21.734151214491764	29.567464165628557	27.854326318023766	29.749622885879802	25.03266495081101	29.06779744846661	29.401977087960486	29.071875930251263	28.46635559698795	1172.0	208.0	1436.0	73.0	295.0	85.0	120.0	288.0	321.0	361.0	281.0	57.0	666.0	492.0	127.0	4.0	1010.0	548.0	1099.0	101.0	825.0	1089.0	842.0	647.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+46125	Abiotrophia defectiva	species	26.628738819635988	20.78120434644654	28.960416939941336	19.099753613117983	25.80904810850357	15.766197725142465	0.0	17.75070319266804	23.00978221479582	22.58501222334152	26.435273410008215	21.679177775940207	23.942154466879487	21.999260734526796	20.619879008620806	0.0	18.982923663447387	0.0	15.212344916016825	21.25296516854647	21.74248617188093	15.85655431424852	28.697968350500325	18.912552905674037	21.8715538842454	18.13897592327781	722.0	3.0	183.0	2.0	0.0	2.0	27.0	32.0	195.0	7.0	60.0	8.0	4.0	0.0	2.0	0.0	2.0	4.0	10.0	1.0	810.0	5.0	21.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+49546	Flavobacteriaceae	family	22.95539686895873	22.184635679496104	21.053214080296463	20.256819457174846	21.968078863512183	22.25191177656353	19.382691888774904	19.574810959356554	21.996716066452095	20.9705383493245	21.743454456244287	16.642544464854687	21.215805800141066	20.705471084734796	24.75630444764119	21.945410258424978	20.968432109785596	22.515892940481333	22.891293091222163	21.360360694495203	22.452020117647084	24.67431493599751	25.019608905828353	21.35232726973642	21.300785779193106	21.977375913825426	5.0	3.0	9.0	6.0	4.0	4.0	9.0	5.0	16.0	2.0	8.0	4.0	13.0	12.0	4.0	17.0	14.0	8.0	12.0	12.0	10.0	6.0	8.0	4.0	1.0	2.0	2.0	2.0	1.0	1.0	2.0	1.0	3.0	1.0	1.0	1.0	1.0	2.0	2.0	3.0	2.0	2.0	2.0	2.0	1.0	2.0	1.0	2.0
+72274	Pseudomonadales	order	23.211608816017442	21.436860926993376	20.48333881236893	21.749460929250787	23.448375795796963	22.840239423554333	22.85533086446144	17.565114570883846	23.37942306785249	20.219794253885702	21.70323899989416	21.913338877384447	19.822503627163037	19.01537263574566	22.80237570310143	20.95703577687511	18.685241717022148	22.543994909741286	22.60205366229209	19.862781156775448	24.32846987041285	20.269210935658947	25.421771099001425	22.677675709238283	19.404033335324762	15.850940270882376	3.0	6.0	3.0	11.0	11.0	4.0	7.0	7.0	12.0	6.0	7.0	5.0	21.0	11.0	2.0	8.0	7.0	8.0	8.0	6.0	9.0	6.0	5.0	2.0	2.0	2.0	2.0	2.0	1.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	1.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	1.0	2.0
+80840	Burkholderiales	order	23.2347231820503	24.191857549926716	24.640769391475434	22.498925791530908	22.434189871458987	24.28171830712745	22.590903722923898	25.46051458378805	21.70902362673431	22.29227233376329	23.194711590563134	21.508181128805152	21.98737056688548	22.182517037441283	22.731219482073325	22.394046776728832	21.57570877848681	23.148679590417558	24.86081869554077	24.34593780080068	23.66919857279261	23.69406861788015	22.401891846578025	21.900975789308337	21.81162965085725	26.438840101500762	6.0	6.0	9.0	7.0	10.0	14.0	10.0	14.0	12.0	4.0	14.0	8.0	15.0	10.0	7.0	13.0	13.0	9.0	21.0	9.0	13.0	12.0	11.0	16.0	3.0	3.0	3.0	3.0	4.0	3.0	3.0	3.0	3.0	2.0	4.0	3.0	4.0	3.0	3.0	3.0	3.0	3.0	4.0	3.0	4.0	3.0	4.0	3.0
+80864	Comamonadaceae	family	22.553357356490967	23.467860526085104	24.55927046776253	22.493776580893535	19.11615478341163	20.472799312518443	22.401483379048962	24.37981662672276	20.209160576645992	22.044405002453605	22.39734668411217	21.156542482345518	19.28393936206647	20.555383962244363	22.53630592221213	19.104938248173816	20.150509117096373	20.741430420533984	24.53833522418264	23.85374233705968	19.61583461514025	23.251330123308914	20.886497842929156	20.641166070602747	20.31308379631421	26.116062785322036	4.0	4.0	5.0	2.0	7.0	7.0	2.0	7.0	8.0	1.0	5.0	2.0	11.0	3.0	5.0	6.0	3.0	2.0	7.0	4.0	6.0	6.0	4.0	6.0	2.0	3.0	3.0	1.0	4.0	4.0	2.0	3.0	4.0	1.0	2.0	1.0	4.0	1.0	3.0	3.0	2.0	2.0	2.0	3.0	2.0	2.0	3.0	2.0
+84998	Coriobacteriia	class	23.14508153930618	23.54696035796893	24.93836083009677	21.298333283010308	24.201904039997398	23.98208553086095	21.63561518415503	22.605770793287906	22.806183564218887	22.413373543011737	23.421379463420717	19.904829849577574	22.147839147836102	22.52463460472465	22.058303592263094	24.234078752779546	23.087297488120807	23.80921351196737	22.22172847226572	23.0921237197876	22.63341242005798	24.70456980061807	21.844043109426398	23.39418001078622	22.23900471652377	24.696966219441077	7.0	2.0	8.0	10.0	7.0	6.0	12.0	12.0	8.0	3.0	5.0	4.0	11.0	14.0	4.0	6.0	7.0	9.0	11.0	7.0	2.0	12.0	7.0	10.0	1.0	1.0	1.0	2.0	2.0	2.0	1.0	2.0	2.0	1.0	2.0	2.0	2.0	2.0	1.0	1.0	2.0	2.0	2.0	2.0	1.0	2.0	2.0	2.0
+85006	Micrococcales	order	22.586370352036727	23.01235790908957	20.455403749519085	21.395321992361687	22.70368156022507	23.183597077544473	23.86818258158437	25.32143056025439	20.521727047091893	23.47473581607291	23.411770581173386	21.776647123518085	19.534027653510265	21.15592617410852	20.073269346152426	22.684610531222248	21.867516921755428	18.60344539049197	24.56836286925435	23.05353705527972	21.247562161917845	19.24809843633105	20.35610867041418	20.79075017585688	22.232191242810305	23.4484323027435	6.0	6.0	7.0	4.0	4.0	8.0	7.0	7.0	5.0	6.0	2.0	5.0	10.0	10.0	4.0	3.0	5.0	6.0	5.0	5.0	6.0	6.0	5.0	7.0	3.0	4.0	4.0	3.0	4.0	4.0	3.0	4.0	3.0	3.0	2.0	2.0	3.0	3.0	3.0	2.0	3.0	3.0	3.0	3.0	3.0	4.0	3.0	3.0
+85007	Corynebacteriales	order	20.89621089023022	22.097896007197214	22.292001014110145	23.496112309433205	21.571829845489287	21.97216500741744	20.346391725356156	21.73443663083981	19.67363911626743	21.24760326778989	20.367401416414186	19.090470917630338	20.706195241929745	20.725344988740886	20.603480712987	23.14104831067083	22.646324642159936	21.67683472657033	17.721720997384278	20.6733380100895	19.40835785722902	23.05007269022569	15.7739178558193	19.970945130063374	19.623305864543862	22.432811998629635	4.0	5.0	5.0	7.0	6.0	9.0	9.0	5.0	6.0	3.0	5.0	4.0	9.0	8.0	7.0	9.0	3.0	7.0	4.0	7.0	3.0	9.0	4.0	6.0	2.0	1.0	1.0	2.0	2.0	2.0	3.0	2.0	2.0	1.0	2.0	2.0	2.0	2.0	2.0	2.0	3.0	2.0	2.0	2.0	1.0	2.0	2.0	2.0
+91061	Bacilli	class	31.75015107403585	32.86740180321424	33.19818285333216	32.53634809152527	33.471692118380325	33.41776964038733	29.98305074990491	32.487138974885305	29.959726575269407	32.09665407790267	30.485589622086426	32.78364188686572	31.26083442148846	32.33573912230939	31.259381958947355	33.47172572315231	30.06101094376124	33.247528462170834	31.18586962719752	32.85649036482498	32.23201166082143	32.891064480452485	30.723201707236942	32.85009246631836	31.18726288042805	32.76584001137989	7668.0	6139.0	9063.0	9032.0	1634.0	6928.0	1549.0	5576.0	2286.0	6751.0	2794.0	5179.0	2958.0	10240.0	1423.0	8414.0	2899.0	6600.0	5165.0	7616.0	2681.0	7662.0	3167.0	6708.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0
+91347	Enterobacterales	order	25.735637383160963	22.553758899640883	22.53535453950437	19.899831515231558	24.48153523500128	23.753503836758362	24.18118011667176	20.503588102210752	22.96372225617252	21.807045001047527	25.27206194662444	21.54665234946141	23.60251228230516	21.96002814366796	22.612875105764168	21.731078631271604	22.586310160651852	18.811569889016454	28.89480487395267	24.919711698554675	24.31413961529516	21.28560975653187	23.99092218485465	19.108949518935365	23.410538511547088	22.86927944783216	8.0	6.0	7.0	18.0	13.0	6.0	20.0	7.0	15.0	10.0	13.0	4.0	15.0	9.0	9.0	4.0	262.0	51.0	22.0	6.0	12.0	6.0	11.0	13.0	4.0	3.0	2.0	4.0	2.0	1.0	3.0	2.0	3.0	2.0	2.0	1.0	3.0	3.0	1.0	2.0	2.0	3.0	4.0	3.0	2.0	1.0	3.0	3.0
+113107	Streptococcus australis	species	21.313924145755745	23.468216671412254	23.205566161747193	22.657433950106007	22.89419209075973	25.88870155756507	0.0	22.053485426955323	16.635360697195402	22.404928834458214	0.0	20.8407876062566	21.216733954492867	20.533499516429316	18.262234492451263	25.28089331395021	19.95540737494885	21.819786733079887	18.058830674971485	19.70254736284236	20.082344291003853	22.528619298505305	0.0	21.0375782448319	19.49837347980613	21.814744251304308	28.0	13.0	16.0	54.0	0.0	11.0	2.0	13.0	0.0	10.0	4.0	6.0	3.0	31.0	2.0	9.0	5.0	5.0	4.0	17.0	0.0	5.0	3.0	9.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+117563	Granulicatella	genus	29.335914227242107	27.72180497869329	30.413671013930895	26.402636976810626	30.76306729105667	25.421953256163324	27.882411819922943	24.98908586932859	25.823936606464358	27.38105835588175	27.50154555454619	27.506143341493395	27.010923114345573	24.26276372174167	29.095677667905488	28.106579177918892	26.414541209696754	21.94459202170248	29.92256122924555	28.31186104695985	30.10101524918847	25.551148395091968	29.41032584579755	29.813888256032605	29.384890590062646	28.852111899596967	1558.0	266.0	1767.0	116.0	450.0	128.0	172.0	385.0	394.0	455.0	342.0	81.0	818.0	612.0	181.0	5.0	1215.0	682.0	1319.0	138.0	1002.0	1324.0	1018.0	804.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	3.0
+119060	Burkholderiaceae	family	21.087905416507713	22.111375637395163	15.793389527669685	12.646913477082734	22.26006255927061	24.159881049635114	17.87681942116253	21.744161593253217	18.68483477351511	18.890641837767173	0.0	19.013924712699193	19.151590645786253	21.562509086455336	15.267438886147394	22.23515002669113	20.51472221359305	22.30587219269001	21.14959037862416	19.39032848246721	23.301935168506517	21.624771600007925	21.137724927527515	16.5345809918755	20.681239134180625	23.724270919891786	1.0	1.0	3.0	3.0	1.0	3.0	4.0	6.0	0.0	2.0	4.0	4.0	2.0	6.0	1.0	3.0	5.0	3.0	8.0	3.0	3.0	2.0	4.0	5.0	1.0	1.0	2.0	2.0	1.0	2.0	3.0	3.0	0.0	2.0	3.0	2.0	2.0	3.0	1.0	3.0	3.0	3.0	4.0	2.0	2.0	2.0	2.0	2.0
+128827	Erysipelotrichaceae	family	21.94315426172615	21.709017550631188	19.92208376387618	20.79180458919052	22.01052828228756	21.619008605483177	21.482036873726425	21.814440071221927	21.08257769811009	21.96684259871955	20.63054799968411	20.597032608244312	21.67045875135301	18.79330515947873	22.73105738420188	19.32390074994257	22.807729632330858	21.945108925007304	18.670070078065933	20.3262881739165	22.09304111150053	21.378342219120807	22.78076299382864	23.846139867838684	22.66642294492146	21.23020778203639	4.0	4.0	5.0	4.0	5.0	5.0	5.0	4.0	3.0	2.0	4.0	1.0	6.0	4.0	5.0	8.0	2.0	3.0	3.0	2.0	4.0	2.0	10.0	7.0	3.0	2.0	3.0	3.0	2.0	3.0	3.0	3.0	3.0	2.0	2.0	1.0	3.0	1.0	3.0	4.0	1.0	2.0	3.0	2.0	3.0	2.0	4.0	3.0
+133925	Olsenella	genus	22.778447659793464	23.07736211214992	24.906706105494145	21.298333283010308	24.187709110179977	23.882132214231657	21.53520950373888	22.477262535564343	21.325607122956495	22.14993174402777	20.954813956948872	19.055577752540145	20.58181447404851	22.433918855758463	21.734296752612934	23.897766281340804	22.118868778176	23.67885542851413	21.90228873450288	22.066757418907887	21.71948293977056	22.293308955715165	0.0	23.185241175030328	21.89195894426266	24.476042613171806	4.0	2.0	7.0	6.0	4.0	3.0	3.0	6.0	5.0	1.0	2.0	2.0	4.0	5.0	2.0	4.0	4.0	3.0	2.0	2.0	0.0	5.0	4.0	3.0	1.0	1.0	2.0	2.0	2.0	1.0	2.0	2.0	2.0	1.0	0.0	1.0	1.0	2.0	1.0	2.0	2.0	1.0	1.0	1.0	0.0	2.0	2.0	1.0
+137732	Granulicatella elegans	species	23.567621660240857	21.069264261163763	26.12746056922684	17.536082886512116	25.00426386923168	21.77642443922289	24.433200605234326	21.067083796391746	21.226528810176593	19.90164920954916	19.462942921283013	22.28197188702657	18.465230972198636	16.989546288954333	20.23192536646712	20.276510436197146	17.087148567682984	19.063370423241416	22.127331088963707	20.894636008526767	21.337173636703003	21.69184925621571	20.667521800648856	21.09181854802461	22.46049242706653	22.202117362924714	131.0	1.0	37.0	5.0	64.0	3.0	5.0	6.0	4.0	9.0	3.0	1.0	6.0	7.0	1.0	1.0	10.0	6.0	10.0	2.0	9.0	9.0	8.0	4.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
+162289	Peptoniphilus	genus	20.201838901917675	20.935786611658095	20.095941897291656	17.458018612083613	20.639182095582605	21.557597220761505	18.405701110984637	21.672324817303632	19.049878256302033	16.968073016709972	20.4155104569531	21.464736906507387	18.578789254161453	20.144535679020624	20.98096272404288	20.637384038449788	19.581589510387033	17.894561182473726	19.677388612306245	22.19096496348532	22.32440912099536	22.521627731015897	15.664003208349927	19.129616348039672	15.357538562556995	14.461920484999919	3.0	2.0	1.0	5.0	3.0	5.0	3.0	2.0	6.0	5.0	3.0	3.0	11.0	5.0	7.0	6.0	4.0	4.0	5.0	4.0	1.0	1.0	1.0	3.0	1.0	1.0	0.0	1.0	2.0	0.0	1.0	0.0	2.0	1.0	1.0	0.0	2.0	2.0	1.0	2.0	0.0	0.0	2.0	0.0	0.0	0.0	0.0	1.0
+165779	Anaerococcus	genus	22.181951893762225	19.524944226849325	18.54040224746611	0.0	18.285627505089998	0.0	24.106357177808448	20.257920789870575	21.904204306905378	19.267195913599103	20.644386305593947	19.452982990155327	18.815359043867304	0.0	24.371298230041628	18.7813338511602	18.6227485074234	18.41930112903463	21.7168574248358	20.102602136175552	21.405867427869996	18.098571010621395	18.952392501270264	19.916949357294648	21.72754217567088	19.916223151096137	1.0	0.0	1.0	0.0	3.0	5.0	6.0	3.0	7.0	3.0	6.0	0.0	7.0	3.0	2.0	6.0	3.0	4.0	2.0	1.0	2.0	4.0	4.0	3.0	0.0	0.0	1.0	0.0	2.0	2.0	2.0	2.0	3.0	3.0	3.0	0.0	3.0	1.0	1.0	2.0	1.0	3.0	1.0	0.0	2.0	2.0	2.0	2.0
+171549	Bacteroidales	order	27.11246709394449	24.562576614744945	24.944867816434122	23.783485715338426	23.285044823530676	24.013211460431446	28.002512747700592	25.97340627774153	26.704511675639054	25.9576832453008	28.530372960671315	24.25642379523949	24.514976039856144	23.078445408021828	25.646260272992144	24.63036718621397	26.500053600009604	23.96656855958961	29.380793547441627	23.649943761636237	24.64756690751292	24.212398176416677	24.044408009842616	23.976128543073234	24.155765207210003	23.794822508022353	33.0	16.0	32.0	36.0	380.0	41.0	236.0	40.0	510.0	27.0	39.0	30.0	92.0	45.0	228.0	18.0	592.0	39.0	39.0	32.0	21.0	40.0	47.0	27.0	3.0	3.0	3.0	3.0	3.0	4.0	5.0	4.0	4.0	2.0	4.0	4.0	4.0	3.0	3.0	3.0	4.0	4.0	4.0	4.0	4.0	4.0	4.0	2.0
+171552	Prevotellaceae	family	26.74811884282495	24.292188060169085	24.90968544001194	23.76769396904597	22.945370015330663	23.79478896429173	27.629734899853467	25.941138129936537	26.40961615350691	25.21701343385916	28.20626768810892	24.252308724458054	24.02580279007446	22.7820570283134	25.3125857354077	24.36315856891433	25.931423914832806	23.706176617830877	29.006379178098395	23.332642456861983	24.308142670553316	23.88297855897874	23.62273286904233	23.477906631163297	23.365131128990388	23.74749976140898	30.0	13.0	24.0	31.0	291.0	37.0	174.0	34.0	371.0	26.0	29.0	22.0	65.0	37.0	179.0	15.0	439.0	28.0	28.0	23.0	16.0	26.0	31.0	25.0	3.0	1.0	3.0	3.0	3.0	3.0	3.0	2.0	3.0	2.0	2.0	3.0	2.0	3.0	3.0	1.0	3.0	2.0	3.0	3.0	2.0	3.0	3.0	3.0
+186802	Clostridiales	order	27.863271945455107	24.89694791742496	23.952601790078003	23.382612698668204	24.563979662294745	25.66250655802362	26.50537391375444	24.670766652508487	27.47118119328121	25.559307298233794	28.667584600827823	24.211296140306832	24.412590298585897	22.95840329296431	30.663445376840397	24.575240647891196	28.419145515831342	24.903007391501962	24.664174144419366	25.195282096559488	24.819175832430634	25.486779161783137	24.046196276634678	23.435373359029487	24.61998960882041	25.68565349635784	21.0	16.0	28.0	34.0	145.0	38.0	259.0	28.0	478.0	27.0	33.0	20.0	1608.0	31.0	589.0	39.0	45.0	29.0	30.0	29.0	25.0	32.0	35.0	30.0	3.0	3.0	5.0	5.0	5.0	5.0	4.0	5.0	3.0	3.0	4.0	2.0	4.0	5.0	5.0	5.0	4.0	2.0	6.0	4.0	5.0	4.0	4.0	4.0
+186803	Lachnospiraceae	family	26.5365208447825	23.631763199191433	22.087311335035402	22.79585491145375	23.53196031781843	24.852435641022282	25.631919926921476	23.90111675045971	26.73789832392785	24.719078596846717	28.15251788974698	23.06461319613091	24.167726655066037	21.90507970150146	28.388958009012644	21.770735402515168	28.0403001951791	22.89168204837938	22.357687385759732	23.915165846870323	23.17971856066495	24.787901815427915	23.057293247201013	21.357847362865826	24.19542896186232	21.77269613118817	7.0	6.0	8.0	14.0	101.0	14.0	171.0	10.0	339.0	13.0	18.0	9.0	555.0	14.0	472.0	12.0	19.0	13.0	10.0	8.0	7.0	14.0	17.0	8.0	5.0	5.0	4.0	4.0	6.0	7.0	6.0	5.0	6.0	5.0	6.0	4.0	5.0	4.0	4.0	5.0	6.0	6.0	4.0	4.0	5.0	5.0	5.0	4.0
+186804	Peptostreptococcaceae	family	26.50576303283946	22.77781549088921	19.540792505123356	19.84806419896069	22.819589079970022	21.027723891538827	24.763189566035965	20.999686610342817	24.261955804622158	23.49110450487055	22.999178752845093	23.100496530397194	19.76915852281815	19.385789451266827	29.968447136120105	22.94392931334128	20.913114046987012	23.785806263034466	23.39222819287117	24.000815069824558	22.53339035606349	21.438149419850628	21.396501452612977	21.68498629242661	22.27364441375489	23.750921313716326	5.0	4.0	8.0	8.0	11.0	8.0	13.0	8.0	11.0	8.0	5.0	6.0	823.0	8.0	6.0	11.0	10.0	9.0	4.0	9.0	9.0	10.0	9.0	9.0	2.0	2.0	3.0	3.0	3.0	3.0	3.0	3.0	2.0	3.0	2.0	3.0	3.0	2.0	2.0	2.0	3.0	3.0	2.0	3.0	2.0	2.0	3.0	3.0
+186817	Bacillaceae	family	22.570847598578485	22.801452183141325	20.242474851896567	18.681629498806686	23.7103896124936	22.023698162750723	21.75006904563679	23.317915417373953	18.66114108601868	22.80835765154499	19.62130929490416	23.463607424960884	21.016206124745807	20.195501193513103	21.062306668679586	19.654249754211573	24.95959966932345	23.473609382705803	22.5504064210192	23.41637953270925	21.930277730004786	24.25545095666748	22.158404441038705	22.485399518658088	21.64944736627069	21.466926879076667	5.0	3.0	17.0	14.0	3.0	6.0	2.0	5.0	5.0	6.0	2.0	4.0	6.0	4.0	3.0	6.0	7.0	4.0	6.0	8.0	8.0	6.0	5.0	8.0	2.0	2.0	2.0	2.0	1.0	1.0	1.0	1.0	3.0	4.0	2.0	2.0	2.0	2.0	1.0	2.0	3.0	2.0	1.0	2.0	1.0	1.0	2.0	2.0
+186826	Lactobacillales	order	31.624961216626073	32.82607257476154	33.07344056380458	32.51934163852834	33.3198111180399	33.336308791928026	29.896010581156546	32.41815470205883	29.797461167864398	32.07212537828489	30.28704779128689	32.75281095238583	31.205146024163824	32.30220534677862	31.227061976818838	33.44939184500077	29.95188914741597	33.211365393661396	31.06755276937293	32.81533279161321	32.11867686086419	32.83791516782056	30.448900568265948	32.809138485692365	31.118885149069985	32.73506567706285	6966.0	6021.0	8172.0	8408.0	1515.0	6337.0	1365.0	5450.0	2005.0	6477.0	2606.0	5039.0	2881.0	10061.0	1344.0	8170.0	2740.0	6271.0	4767.0	7439.0	2293.0	7387.0	3039.0	6544.0	5.0	5.0	5.0	6.0	4.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	4.0	4.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0
+186828	Carnobacteriaceae	family	29.370782956946545	27.76291872885829	30.45205190480293	26.44567414063633	30.80052630843073	25.50136840621385	27.949991248719286	25.096514095318927	25.84346609244545	27.411982722456088	27.545877569115024	27.556496957261142	27.039539261526624	24.35368723929883	29.119815327540454	28.148859821091445	26.43892281618993	22.125819946360302	29.958204995434414	28.36165393233391	30.127169817560702	25.60474890363494	29.445113550155025	29.852628216951423	29.417401201065307	28.877877032501136	1589.0	275.0	1801.0	122.0	466.0	139.0	175.0	397.0	408.0	468.0	351.0	86.0	834.0	633.0	189.0	8.0	1241.0	701.0	1342.0	144.0	1022.0	1354.0	1037.0	820.0	4.0	2.0	4.0	2.0	2.0	3.0	1.0	2.0	2.0	3.0	2.0	2.0	2.0	3.0	1.0	3.0	3.0	3.0	4.0	3.0	2.0	3.0	3.0	2.0
+201174	Actinobacteria	phylum	25.848277880139772	26.325724303322954	25.44335839169099	24.625460641630102	25.33543024901195	26.38080966473031	25.535504291293343	26.432968311699227	26.05461112945051	25.55469987414196	26.42242309131936	28.360248473709262	26.107375855401784	23.77153256852889	25.92736316146503	25.52368780268969	26.853740005007413	25.03652938829249	25.54138501730898	25.692973874996692	26.004114181742978	26.711928108192282	25.12446117832511	25.147214886514345	24.147582575694734	26.7550700410886	43.0	38.0	67.0	55.0	86.0	79.0	193.0	75.0	213.0	616.0	148.0	28.0	75.0	72.0	244.0	67.0	40.0	106.0	103.0	59.0	37.0	72.0	44.0	68.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0
+203491	Fusobacteriales	order	33.38002013665451	28.295833495799307	24.953765013169388	23.39474377708772	22.158725210149065	22.4400400075868	33.59080400592074	23.888070155521852	34.431519799776396	23.8573320035419	34.1886038452706	25.37554191560617	33.70026130473536	22.995262341376602	34.022783559925536	23.577493557965546	33.47460978598078	23.948908867624336	32.28572696244835	31.819132692586976	28.511733948621806	22.388215025444584	33.39902556861409	22.389636458774675	34.077528430474004	24.655465254846373	104.0	14.0	21.0	10.0	6000.0	27.0	9761.0	36.0	8490.0	101.0	7246.0	30.0	8834.0	40.0	5044.0	27.0	3529.0	3512.0	511.0	14.0	6374.0	16.0	8100.0	44.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0
+213849	Campylobacterales	order	22.877553191845465	23.42651999615718	19.75597554022685	20.606446832930114	22.374052312423657	22.175914745445667	20.754706572915023	21.497720060388442	22.151782833367424	21.424623443460977	20.230148010413348	18.916555043688426	21.418564344944826	20.053670388187925	26.080710859770953	24.38212216239476	20.727427914381174	22.276599643574947	18.169051721776746	26.353858284366478	18.911902395646823	20.233239126385538	19.83361162568149	20.64842005221573	20.26551706334565	22.519209227282648	4.0	5.0	2.0	5.0	3.0	7.0	29.0	6.0	8.0	5.0	20.0	5.0	223.0	9.0	6.0	10.0	5.0	8.0	3.0	5.0	7.0	6.0	9.0	8.0	2.0	1.0	1.0	1.0	2.0	1.0	2.0	2.0	2.0	2.0	1.0	1.0	2.0	1.0	2.0	2.0	2.0	1.0	1.0	1.0	1.0	2.0	2.0	2.0
+265975	Oribacterium	genus	22.85370496486701	22.969449265232587	20.101741577180146	22.56398402487284	23.25810957623011	24.35778742523521	17.537402719954088	23.019926560099467	23.64564127296471	24.502619342726426	25.456991203534198	22.64581756693985	20.73947311260018	20.991664986330107	19.27059493275521	21.224731815990502	18.322952255478427	22.452431799569784	19.905251328586328	23.476605187984386	22.92791542377163	23.10492022633954	17.90746229105769	19.411570648409775	23.020270023870978	18.418708679724237	2.0	2.0	2.0	6.0	1.0	4.0	11.0	3.0	10.0	5.0	7.0	3.0	6.0	3.0	2.0	3.0	5.0	5.0	5.0	4.0	1.0	4.0	5.0	1.0	0.0	0.0	0.0	2.0	0.0	1.0	2.0	1.0	1.0	1.0	2.0	1.0	2.0	1.0	0.0	0.0	0.0	1.0	2.0	0.0	1.0	1.0	1.0	0.0
+416916	Aggregatibacter	genus	26.028143565805202	21.963715511593186	19.071697785619996	24.132215681040503	18.581288524695864	20.644965500038744	23.12659650295228	21.18444264381485	27.65467355347139	21.438699817819206	25.29209629021757	23.74316993948855	23.720591679972035	21.08701566361023	28.85395927826012	16.378181817066846	24.00350903786073	17.7667506724018	20.87439115632514	19.272291498679323	24.40326724487193	0.0	23.155822634831036	15.8378395946466	23.165629190009927	21.236082242783827	3.0	4.0	2.0	2.0	5.0	3.0	364.0	9.0	41.0	12.0	18.0	5.0	493.0	2.0	29.0	2.0	3.0	3.0	27.0	0.0	14.0	2.0	9.0	8.0	1.0	2.0	1.0	1.0	2.0	1.0	3.0	2.0	3.0	3.0	3.0	3.0	3.0	1.0	3.0	1.0	2.0	1.0	3.0	0.0	3.0	2.0	2.0	3.0
+649777	Synergistaceae	family	21.34410870483268	20.342481859790933	12.722775191402784	18.92833567189773	20.513630556865273	0.0	21.123541056925603	16.633712993437534	17.439985048901242	19.296406260651942	20.62546717088497	22.722314508599528	18.941545335029307	12.558719922528866	23.26590054186841	18.81660458896966	20.71863709736182	21.23783558474517	20.577158921964482	19.019500051140387	23.284148568284248	21.194625956766988	20.366267968252497	17.258831083285212	19.802895038657333	18.718863384956276	1.0	3.0	3.0	0.0	4.0	2.0	3.0	4.0	3.0	3.0	2.0	1.0	9.0	4.0	1.0	4.0	2.0	4.0	2.0	3.0	4.0	2.0	2.0	1.0	1.0	3.0	2.0	0.0	2.0	2.0	2.0	3.0	2.0	2.0	2.0	1.0	3.0	2.0	1.0	2.0	2.0	3.0	2.0	3.0	3.0	2.0	2.0	0.0
+909932	Negativicutes	class	31.642194031354713	32.13468762235439	31.544314244694014	22.26107368410749	23.403415372397927	25.274630134164894	30.995174586086407	32.534383226499486	31.221607191441215	33.416289115554946	31.007758003630567	32.812479432123524	32.3657796226359	31.27982807466682	31.50580897261089	31.419980035372852	31.73676675760914	32.46689932493384	31.90335373250952	32.01991155162215	32.440506546087626	31.624366871994567	32.376633329293604	30.77201116376389	31.324387306077984	33.27525557843209	2112.0	24.0	13.0	22.0	1858.0	4415.0	2187.0	6539.0	2047.0	4470.0	3786.0	2718.0	2281.0	2701.0	2355.0	4257.0	2365.0	3164.0	3391.0	2649.0	3465.0	1957.0	2384.0	5655.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	3.0	2.0	2.0	2.0	2.0
+1570339	Peptoniphilaceae	family	23.376192221156746	21.9233285218442	21.530370272488227	18.080746778833426	22.069344119853483	21.69336496273765	24.224440757757648	23.248488219093908	22.70511207327184	20.87440581741395	22.21077750839318	21.90605373227633	20.779175868793548	20.912271401897566	25.86972432971436	21.05424678262083	21.751447218169673	22.82055468109171	22.872969174097605	22.769851569191083	22.94097984639506	22.587358803525447	21.898503869358407	20.8124661881928	22.427603428836107	20.403651221891238	8.0	4.0	5.0	7.0	9.0	15.0	16.0	11.0	20.0	11.0	13.0	8.0	28.0	9.0	16.0	17.0	10.0	13.0	8.0	5.0	7.0	9.0	9.0	8.0	4.0	2.0	4.0	3.0	4.0	4.0	4.0	4.0	4.0	3.0	3.0	3.0	4.0	3.0	4.0	4.0	4.0	3.0	3.0	2.0	4.0	3.0	4.0	3.0
+1643824	Atopobiaceae	family	23.095961409992302	23.208563169782163	24.915226695607878	21.298333283010308	24.201904039997398	23.93953836973515	21.588480102781343	22.589064661598893	22.67860039633661	22.386543718617833	23.38407466541362	19.904829849577574	22.032654192647296	22.494976060551032	21.97127765348275	23.91618649632667	23.087297488120807	23.709595883268843	21.94359747287084	22.81282029308393	22.48415692721951	22.29631653248385	21.844043109426398	23.250123815558876	22.211599792157088	24.682377093999648	6.0	2.0	8.0	7.0	5.0	5.0	10.0	10.0	7.0	3.0	3.0	3.0	9.0	8.0	4.0	5.0	5.0	6.0	5.0	3.0	2.0	8.0	6.0	7.0	2.0	1.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	2.0	1.0	2.0	2.0	2.0
+1843491	Selenomonadaceae	family	23.23864639783701	22.8728938280295	22.15215088671252	17.208137383583722	21.598185771677297	22.661543465600804	23.015096873655523	22.531134703617262	22.68649736015477	23.24016576883264	23.96621462793578	21.778565860399933	24.31621982642957	21.414594274785475	23.418189249072828	20.40663564024541	23.612216055685572	22.864012545765014	22.747995432652267	22.521151691407837	22.712049747539854	24.22506609220036	23.83919133820257	24.50800705913742	22.384756810701738	22.106172333873914	9.0	2.0	10.0	10.0	14.0	13.0	15.0	10.0	15.0	7.0	18.0	6.0	16.0	9.0	8.0	12.0	12.0	12.0	13.0	9.0	16.0	9.0	10.0	9.0	2.0	1.0	2.0	3.0	2.0	2.0	2.0	2.0	2.0	1.0	3.0	1.0	3.0	3.0	3.0	2.0	2.0	2.0	3.0	2.0	3.0	2.0	2.0	3.0
diff --git a/metaquantome/modules/viz.R b/metaquantome/modules/viz.R
index b90aad8..991408d 100644
--- a/metaquantome/modules/viz.R
+++ b/metaquantome/modules/viz.R
@@ -262,7 +262,7 @@ heatmap_cli <- function(args){
 
     # get color mapping
     colSideColors <- get_colors_from_groups(args[5], all_intcols)
-    filter_to_sig <- (args[6] == "True")
+    filter_to_sig <- (args[6] != "None")
     alpha <- as.numeric(args[7])
     width <- as.numeric(args[8])
     height <- as.numeric(args[9])
diff --git a/tests/travis/testCLI.py b/tests/travis/testCLI.py
index 5ddd9f8..9123f04 100644
--- a/tests/travis/testCLI.py
+++ b/tests/travis/testCLI.py
@@ -57,6 +57,20 @@ def testViz(self):
         test_status = subprocess.call(cmd, shell=True)
         self.assertEqual(test_status, 0)
 
+    def testHeatmapViz(self):
+        infile = testfile('ec_ttest_tested.tab')
+        imgfile = testfile('cli_heatmap_viz.png')
+        cmd = ' '.join([
+            'python3 metaquantome/cli.py viz -m f --ontology ec --plottype heatmap',
+            '--infile', infile,
+            '--img', imgfile,
+            "--samps '", TTEST_SINFO, "'",
+            '--filter_to_sig',
+            '--alpha 0.5'
+        ])
+        test_status = subprocess.call(cmd, shell=True)
+        self.assertEqual(test_status, 0)
+
 
 if __name__ == '__main__':
     unittest.main()

From 1ad4685ceaec03a3eb1bfb951d759ed6b88c4823 Mon Sep 17 00:00:00 2001
From: Caleb Easterly <caleb.easterly@gmail.com>
Date: Thu, 28 Mar 2019 16:38:45 -0500
Subject: [PATCH 14/23] column check in heatmap

---
 metaquantome/modules/viz.R | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/metaquantome/modules/viz.R b/metaquantome/modules/viz.R
index 991408d..bd9ea96 100644
--- a/metaquantome/modules/viz.R
+++ b/metaquantome/modules/viz.R
@@ -199,6 +199,10 @@ mq_heatmap <- function(img, df, all_intcols, colSideColors, filter_to_sig, alpha
     # colSide colors is a vector of colors for the groups. Must be in the same order as samp_columns
     # filter to sig
     if (filter_to_sig){
+        pvals <- df$corrected_p
+        if (is.null(pvals)) {
+            stop("the dataset does not have a column named 'corrected_p'. did you run metaquantome stat?")
+        }
         df <- df[df$corrected_p < alpha, ]
         if (nrow(df) == 0) {
             stop("after filtering to provided value of alpha, no rows remain. please increase alpha")

From e0076c49c456a4acb876835793a2fda8da74f903 Mon Sep 17 00:00:00 2001
From: Caleb Easterly <caleb.easterly@gmail.com>
Date: Thu, 28 Mar 2019 17:04:20 -0500
Subject: [PATCH 15/23] fix heatmap bug introduced in last bugfix

---
 metaquantome/cli.py                        |   1 +
 metaquantome/data/test/cli_heatmap_viz.png | Bin 26993 -> 27778 bytes
 metaquantome/data/test/cli_pca_viz.png     | Bin 0 -> 188818 bytes
 metaquantome/data/test/test.png            | Bin 21109 -> 0 bytes
 metaquantome/modules/viz.R                 |   8 +++++---
 tests/travis/testCLI.py                    |  22 +++++++++++++++++++++
 tests/travis/testRunViz.py                 |   7 +++++++
 7 files changed, 35 insertions(+), 3 deletions(-)
 create mode 100644 metaquantome/data/test/cli_pca_viz.png
 delete mode 100644 metaquantome/data/test/test.png

diff --git a/metaquantome/cli.py b/metaquantome/cli.py
index ca802c3..69ec62a 100755
--- a/metaquantome/cli.py
+++ b/metaquantome/cli.py
@@ -54,6 +54,7 @@ def cli():
                 flip_fc=args.flip_fc,
                 gosplit=args.gosplit,
                 sinfo=args.samps,
+                filter_to_sig=args.filter_to_sig,
                 alpha=args.alpha,
                 whichway=args.whichway,
                 name=args.name,
diff --git a/metaquantome/data/test/cli_heatmap_viz.png b/metaquantome/data/test/cli_heatmap_viz.png
index 45a4520941a891848eda3fdb5813aac6faa3f49c..7dd0cbfb2afff4f26fa003ea1e5c5f66caa9f352 100644
GIT binary patch
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zi?QIF(*D-(*ZpA+Ff-Q&1>r%VO>^Jh|J<NvlQ<o6cNWNzj<Qqy5a8U=^Zut!20Vfu
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Wx}O33Ufzlo`e%*L<ek2D|33lrR6;fY

diff --git a/metaquantome/modules/viz.R b/metaquantome/modules/viz.R
index bd9ea96..b994bf4 100644
--- a/metaquantome/modules/viz.R
+++ b/metaquantome/modules/viz.R
@@ -201,11 +201,13 @@ mq_heatmap <- function(img, df, all_intcols, colSideColors, filter_to_sig, alpha
     if (filter_to_sig){
         pvals <- df$corrected_p
         if (is.null(pvals)) {
-            stop("the dataset does not have a column named 'corrected_p'. did you run metaquantome stat?")
+            stop("the dataset does not have a column named 'corrected_p'. did you run metaquantome stat?",
+                 call. = FALSE)
         }
         df <- df[df$corrected_p < alpha, ]
         if (nrow(df) == 0) {
-            stop("after filtering to provided value of alpha, no rows remain. please increase alpha")
+            stop("after filtering to provided value of alpha, no rows remain. please increase alpha",
+                 call. = FALSE)
         }
     }
 
@@ -266,7 +268,7 @@ heatmap_cli <- function(args){
 
     # get color mapping
     colSideColors <- get_colors_from_groups(args[5], all_intcols)
-    filter_to_sig <- (args[6] != "None")
+    filter_to_sig <- (args[6] == "True")
     alpha <- as.numeric(args[7])
     width <- as.numeric(args[8])
     height <- as.numeric(args[9])
diff --git a/tests/travis/testCLI.py b/tests/travis/testCLI.py
index 9123f04..1fe175c 100644
--- a/tests/travis/testCLI.py
+++ b/tests/travis/testCLI.py
@@ -70,6 +70,28 @@ def testHeatmapViz(self):
         ])
         test_status = subprocess.call(cmd, shell=True)
         self.assertEqual(test_status, 0)
+        cmd2 = ' '.join([
+            'python3 metaquantome/cli.py viz -m f --ontology ec --plottype heatmap',
+            '--infile', infile,
+            '--img', imgfile,
+            "--samps '", TTEST_SINFO, "'"
+        ])
+        test_status2 = subprocess.call(cmd2, shell=True)
+        self.assertEqual(test_status2, 0)
+
+    def testPCABig(self):
+        infile = testfile('tax_filt_out.tab')
+        sampfile = testfile('rudney_samples.tab')
+        imgfile = testfile('cli_pca_viz.png')
+        cmd = ' '.join([
+            'python3 metaquantome/cli.py viz -m t --plottype pca',
+            '--infile', infile,
+            '--img', imgfile,
+            "--samps", sampfile,
+            '--calculate_sep'
+        ])
+        test_status = subprocess.call(cmd, shell=True)
+        self.assertEqual(test_status, 0)
 
 
 if __name__ == '__main__':
diff --git a/tests/travis/testRunViz.py b/tests/travis/testRunViz.py
index e9715d1..eec134d 100644
--- a/tests/travis/testRunViz.py
+++ b/tests/travis/testRunViz.py
@@ -54,6 +54,13 @@ def testPCA(self):
                 sinfo=TTEST_SINFO,
                 calculate_sep=False)
 
+    def testPCABig(self):
+        infile = testfile('tax_filt_out.tab')
+        sampfile = testfile('rudney_samples.tab')
+        run_viz('pca', self.img, infile,
+                sinfo=sampfile,
+                calculate_sep=True)
+
     def testFtDist(self):
         infile = testfile('ft_out.tab')
         run_viz('ft_dist', self.img, infile,

From 9af746d7de1ab4045f1aa6175f890b9c58b3eb8f Mon Sep 17 00:00:00 2001
From: Caleb Easterly <caleb.easterly@gmail.com>
Date: Thu, 28 Mar 2019 17:50:59 -0500
Subject: [PATCH 16/23] update dependencies and fix pca error (coming from r >
 3.5?)

---
 dev_environment.yml        | 21 +++++++++++----------
 metaquantome/modules/viz.R |  2 +-
 2 files changed, 12 insertions(+), 11 deletions(-)

diff --git a/dev_environment.yml b/dev_environment.yml
index 9ec7ec0..37149f8 100644
--- a/dev_environment.yml
+++ b/dev_environment.yml
@@ -5,14 +5,15 @@ channels:
 - conda-forge
 - r
 dependencies:
-- python==3.5.*
-- ete3==3.1.1
-- goatools==0.7.11
-- statsmodels==0.8.0
-- biopython==1.70
+- python>=3
+- ete3==3.1.*
+- goatools==0.7.*
+- statsmodels==0.8.*
+- biopython==1.73.*
 - pandas==0.23.*
-- r-gplots==3.0.1
-- r-ggplot2
-- r-base==3.4.*
-- r-jsonlite=1.5
-- libiconv
+- numpy 1.15.*
+- r-gplots==3.0.*
+- r-ggplot2==3.0.*
+- r-base==3.5.1
+- r-jsonlite=1.5.*
+- libiconv 1.15.*
diff --git a/metaquantome/modules/viz.R b/metaquantome/modules/viz.R
index b994bf4..8d67b71 100644
--- a/metaquantome/modules/viz.R
+++ b/metaquantome/modules/viz.R
@@ -301,7 +301,7 @@ sep_n <- function(clust){
         dists[i] <- sum((means[[comb[1]]] - means[[comb[2]]])^2)
     }
     avg_dist <- mean(dists)
-    within_variance <- sapply(1:nclust, function(i) mean((clust[[i]] - means[[i]])^2))
+    within_variance <- sapply(1:nclust, function(i) mean(data.matrix((clust[[i]] - means[[i]])^2)))
     avg_dist / sum(within_variance)
 }
 

From ad0ff99b63d0ba570ac097fba4544fa0d0b4d79b Mon Sep 17 00:00:00 2001
From: Caleb Easterly <caleb.easterly@gmail.com>
Date: Fri, 29 Mar 2019 16:24:49 -0500
Subject: [PATCH 17/23] fix tabfile bug

---
 .gitignore                              |   3 +++
 metaquantome/cli.py                     |   3 ++-
 metaquantome/data/test/cli_bar_viz.png  | Bin 28479 -> 28630 bytes
 metaquantome/data/test/cli_bar_viz2.png | Bin 0 -> 28630 bytes
 tests/travis/testCLI.py                 |  19 +++++++++++++++++++
 5 files changed, 24 insertions(+), 1 deletion(-)
 create mode 100644 metaquantome/data/test/cli_bar_viz2.png

diff --git a/.gitignore b/.gitignore
index dbecdf1..c58362e 100644
--- a/.gitignore
+++ b/.gitignore
@@ -2,6 +2,9 @@
 metaquantome/data/test/taxa.sqlite
 metaquantome/data/test/taxa.sqlite.traverse.pkl
 
+# sometimes ggplot makes empty Rplots.pdf
+Rplots.pdf
+
 # Byte-compiled / optimized / DLL files
 __pycache__/
 *.py[cod]
diff --git a/metaquantome/cli.py b/metaquantome/cli.py
index 69ec62a..0acc4df 100755
--- a/metaquantome/cli.py
+++ b/metaquantome/cli.py
@@ -61,7 +61,8 @@ def cli():
                 id=args.id,
                 target_onto=args.target_onto,
                 width=args.width,
-                height=args.height)
+                height=args.height,
+                tabfile=args.tabfile)
     else:
         ValueError('incorrect mode. please provide one of "db", "expand", "filter", "stat", or "viz".')
     sys.exit(0)
diff --git a/metaquantome/data/test/cli_bar_viz.png b/metaquantome/data/test/cli_bar_viz.png
index 72e08c0981feb4ee6a3cc3c8f6cc3c324df105ad..57f4dadd3bb2231255280ee9d49b614981333a5f 100644
GIT binary patch
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HcmV?d00001

diff --git a/tests/travis/testCLI.py b/tests/travis/testCLI.py
index 1fe175c..e060752 100644
--- a/tests/travis/testCLI.py
+++ b/tests/travis/testCLI.py
@@ -2,6 +2,7 @@
 import unittest
 import pandas as pd
 import numpy as np
+import os
 
 from metaquantome.util.utils import TEST_DIR
 from metaquantome.util.testutils import testfile, TTEST_SINFO
@@ -57,6 +58,24 @@ def testViz(self):
         test_status = subprocess.call(cmd, shell=True)
         self.assertEqual(test_status, 0)
 
+    def testVizTabfile(self):
+        infile = testfile('taxonomy_write_simple.tab')
+        imgfile = testfile('cli_bar_viz2.png')
+        tabfile = testfile("tmp")
+        cmd = ' '.join([
+            'python3 metaquantome/cli.py viz -m t --plottype bar --infile',
+            infile,
+            '--img', imgfile,
+            """--samps '{"samp1": ["int"]}'""",
+            '--nterms 2 --meancol samp1_mean --target_rank genus',
+            '--tabfile', tabfile,
+        ])
+        test_status = subprocess.call(cmd, shell=True)
+        self.assertEqual(test_status, 0)
+        nline = subprocess.run(['wc', '-l', tabfile], stdout=subprocess.PIPE)
+        self.assertEqual(b'3', nline.stdout.strip().split()[0])
+        os.remove(tabfile)
+
     def testHeatmapViz(self):
         infile = testfile('ec_ttest_tested.tab')
         imgfile = testfile('cli_heatmap_viz.png')

From f1cdacd980fe6fb7c6c9aff5742831cf29247e82 Mon Sep 17 00:00:00 2001
From: Caleb Easterly <caleb.easterly@gmail.com>
Date: Fri, 29 Mar 2019 16:25:28 -0500
Subject: [PATCH 18/23] rotate x axis text more

---
 metaquantome/data/test/cli_bar_viz.png  | Bin 28630 -> 29270 bytes
 metaquantome/data/test/cli_bar_viz2.png | Bin 28630 -> 29270 bytes
 metaquantome/modules/viz.R              |   6 ++++--
 3 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/metaquantome/data/test/cli_bar_viz.png b/metaquantome/data/test/cli_bar_viz.png
index 57f4dadd3bb2231255280ee9d49b614981333a5f..8892ada00d7b162568bc723f74753f82becccadc 100644
GIT binary patch
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zXR2QwZ7*hJb^No3`oRY`d=yK4pK!r~oL9`^x4R1Ta)|SYw<=pvMSn28!;m=tO9}Bt
zy=W9u%x`h8xI6KcC@6&9!f8nQSl*`0eP>&5^mljjMRkXt2IX!{(*xnsR51`akT_w$
z4YR|kku#g<BmH0{j@@j)a-N{7dl0xi?$%bJsAG3~m%;)bansC}WE%HllLT`nma25O
z8$gu>P*HCB7`0SZ+Lc$<Zn9X?6B~Gc@xoy<4p{n9OG@GZBQ|HgS~Af56jF-l_px>M
z<g2t8n6X|;&TXSMy~PKPcGYHTrs}^U^1LgG*$I5jVt~}PX2hh+u!6wTRgCG3$)Ptn
zYOQWeA1fpYk+oQviSs}l(j8#6TjA~(QC5EUU_mnBYLxU7bpOR_M(B8z8NGENgPyVH
z26v+3GLPU#9OLE^=u+lLo~u!1PtkAE+#o-57=Pd?-2cyd^5x&1d;P2B{O*-2WG$S5
zk?kKpb<6gjvp+w2Xy<OaZ~7Ni+1A~~b%##O4p%;T`0h{stN(+(YqJA;>wRZFFYvmR
ze`Nctbv^CB6>ZII4d(2%{BOSAJsKG5_N%Y8Rs7eD+Yzp(wP%^)2Y;_euN&pufl2Yr
zRY95k_rElH*xZ?$b9L7({?xzqjnQ|*+8@@f&FcNIt9;(;*55}w4wbO_#&@}#v%037
z&*srr;LdjGaQHr<Xs7oVH=p}eXLCpUOXRei{8J6>=lWdEb*@`*C2@y;;M&hg?7yw`
zdjCZ0+_@jJpYdG$L)*Pi!><0_ELZF8APw~21^F+G-=4qIwJ)qGu2U&`{Gnopdw9~W
zH~Z$km#wVbXWdj-v}OO{g7W2M`wPBoPEB3SHb++Tg8Q57lKO>pAM4NF*!6y{`F5KH
z@wMN!#npD7r~sOIac-k^Kz*5(z`JvMC$g9y4@-SzaObY&ecStgJ^a~T`ng>$@O>n2
zRXvaSiyAOOR+OIlx$%PS>tn%w26yJB?|-cRDO~P*6|hKocJZSnTV3HD%|QPB#lL5F
z>2am}{@(ofRb!mP4rSv|-(A1DpU2f)m9VvbVlZ_d_v7j)v%a0bPX90Xr)n>?@!I@z
z8y^>x&oOuV`{48QxF5ZWvqP#AkIWbR_hge|c>J%GoArO4GELt8{ljj?TZ(rYZQjRl
zCGa1T{oybAZnm#D;}S7o;=BGuQuH0WZ#bBD=JKuw-~Ru7HSfo>&04qj=WLK!pbpF%
z4pq-KIOQ*XdORz8%E_VzIiTa1ZACsFKW=h&f&0SnnYtVvmWN~|R~(c*{qKJN`xW;r
zU(enZnX*es;VLkfFWRo>zoWLqq5EZ1Lx}R7i4*yr|GrpvQs?qjhLyks;{0}A#o5&P
rR^KP(^XjcNjpe$)OuriH%l}u}tA6e3&JhG&PR8Kr>gTe~DWM4fxz4s5

diff --git a/metaquantome/modules/viz.R b/metaquantome/modules/viz.R
index 8d67b71..c3ee093 100644
--- a/metaquantome/modules/viz.R
+++ b/metaquantome/modules/viz.R
@@ -16,6 +16,8 @@ suppressMessages(library(stringr))
 grp_color_values <- c("dodgerblue", "darkorange",
     "yellow2", "red2", "darkviolet", "black")
 
+X_AXIS_ROT <- 60
+
 ####### ==================== #######
 #         UTILITY FUNCTIONS        #
 ####### ==================== #######
@@ -133,7 +135,7 @@ mq_barplot <- function(df, img, mode, meancol,
                     y = as.name(meancol)), stat = "identity", fill = barcol, col = "black") +
       theme_bw() +
       labs(x = xlab, y = "Total Peptide Intensity") +
-      theme(axis.text.x = element_text(angle = 45, hjust = 1))
+      theme(axis.text.x = element_text(angle = X_AXIS_ROT, hjust = 1))
     ggsave(img, height = height, width = width, units = "in")
 
     # write tabfile
@@ -558,7 +560,7 @@ mq_ft_dist <- function(df, img, whichway, name, id, meancol,
                       y = as.name("props")), stat = "identity", fill = barcol, col = "black") +
         theme_bw() +
         labs(x = xlab, y = "Proportion of Peptide Intensity") +
-        theme(axis.text.x = element_text(angle = 45, hjust = 1))
+        theme(axis.text.x = element_text(angle = X_AXIS_ROT, hjust = 1))
     ggsave(img, height = height, width = width, units = "in")
 
     # write tabular data

From 2d98185e246bb0347b430af14f642523d1c01fba Mon Sep 17 00:00:00 2001
From: Caleb Easterly <caleb.easterly@gmail.com>
Date: Fri, 29 Mar 2019 16:25:42 -0500
Subject: [PATCH 19/23] fix data frame - probably due to new pandas

---
 tests/travis/testAnnotationHierarchy.py | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/tests/travis/testAnnotationHierarchy.py b/tests/travis/testAnnotationHierarchy.py
index eae3954..f5d86c1 100644
--- a/tests/travis/testAnnotationHierarchy.py
+++ b/tests/travis/testAnnotationHierarchy.py
@@ -173,8 +173,10 @@ def testToDataframe(self):
                                        '1.1.4.1',
                                        '1.1.4.2',
                                        '6.-.-.-',
-                                       '6.5.-.-']).sort_index()
-        df = ah.to_dataframe().sort_index()
+                                       '6.5.-.-']).sort_index(axis=0).sort_index(axis=1)
+        df = ah.to_dataframe().sort_index(axis=0).sort_index(axis=1)
+        print(df)
+        print(exp_df)
         self.assertTrue(df.equals(exp_df))
 
 

From 48f22a6f767e205fdabbc6e30a8f1762a80046fe Mon Sep 17 00:00:00 2001
From: Caleb Easterly <caleb.easterly@gmail.com>
Date: Fri, 29 Mar 2019 16:37:18 -0500
Subject: [PATCH 20/23] pull out obo download links

---
 metaquantome/databases/GeneOntologyDb.py | 13 +++++++------
 1 file changed, 7 insertions(+), 6 deletions(-)

diff --git a/metaquantome/databases/GeneOntologyDb.py b/metaquantome/databases/GeneOntologyDb.py
index 016a253..3790e4a 100644
--- a/metaquantome/databases/GeneOntologyDb.py
+++ b/metaquantome/databases/GeneOntologyDb.py
@@ -4,6 +4,9 @@
 
 from metaquantome.util.utils import safe_cast_to_list, stream_to_file_from_url
 
+FULL_OBO_URL = 'http://purl.obolibrary.org/obo/go/go-basic.obo'
+SLIM_OBO_URL = 'http://current.geneontology.org/ontology/subsets/goslim_metagenomics.obo'
+
 
 class GeneOntologyDb:
     # the three "namespaces", or "ontologies"
@@ -59,13 +62,11 @@ def download_go(data_dir, overwrite):
             logging.info('GO files exist in specified directory ' +
                          'and --update was not provided. Doing nothing.')
         else:
-            full_obo_url = 'http://purl.obolibrary.org/obo/go/go-basic.obo'
-            logging.info('Downloading full GO obo file from ' + full_obo_url + ' to ' + obo_path)
-            stream_to_file_from_url(full_obo_url, obo_path)
+            logging.info('Downloading full GO obo file from ' + FULL_OBO_URL + ' to ' + obo_path)
+            stream_to_file_from_url(FULL_OBO_URL, obo_path)
 
-            slim_obo_url = 'http://current.geneontology.org/ontology/subsets/goslim_metagenomics.obo'
-            logging.info('Downloading generic slim GO obo file from ' + slim_obo_url + ' to ' + slim_path)
-            stream_to_file_from_url(slim_obo_url, slim_path)
+            logging.info('Downloading generic slim GO obo file from ' + SLIM_OBO_URL + ' to ' + slim_path)
+            stream_to_file_from_url(SLIM_OBO_URL, slim_path)
 
     @staticmethod
     def _load_go_db(data_dir, slim_down):

From 53f705d94c0c8e8861c2225a2600b91295eb3040 Mon Sep 17 00:00:00 2001
From: Caleb Easterly <caleb.easterly@gmail.com>
Date: Sun, 31 Mar 2019 19:23:43 -0500
Subject: [PATCH 21/23] filter ontology in barplot

---
 metaquantome/cli.py                        |   6 +-
 metaquantome/data/test/eggnog_out.tab      |  86 +++++++++++++++++++++
 metaquantome/data/test/eggnog_viz_file.tab |  21 +++++
 metaquantome/data/test/test_eggnog_viz.png | Bin 0 -> 70039 bytes
 metaquantome/data/test/viz_f_filt.tab      |   3 +
 metaquantome/modules/run_viz.py            |   2 +-
 metaquantome/modules/viz.R                 |  51 ++++++++----
 tests/travis/testCLI.py                    |  16 ++++
 tests/travis/testExpand.py                 |   7 +-
 tests/travis/testRunViz.py                 |  35 +++++++++
 10 files changed, 203 insertions(+), 24 deletions(-)
 create mode 100644 metaquantome/data/test/eggnog_out.tab
 create mode 100644 metaquantome/data/test/eggnog_viz_file.tab
 create mode 100644 metaquantome/data/test/test_eggnog_viz.png
 create mode 100644 metaquantome/data/test/viz_f_filt.tab

diff --git a/metaquantome/cli.py b/metaquantome/cli.py
index 0acc4df..ede63a0 100755
--- a/metaquantome/cli.py
+++ b/metaquantome/cli.py
@@ -244,6 +244,9 @@ def parse_args_cli():
                           ' heatmap and PCA plot, so the colors can be tweaked to match. ')
     bar.add_argument('--target_rank',
                      help="(Tax bar and FT dist). Taxonomic rank to restrict to in the plot. ")
+    bar.add_argument('--target_onto', choices=["mf", "bp", "cc"],
+                     help="(Function and FT dist bar only) " +
+                          "Ontology to restrict to, for function distribution.")
     bar.add_argument("--whichway", choices=["f_dist", "t_dist"],
                      help="(FT dist only) " +
                           "Which distribution - functional distribution for a taxon (f_dist) or " +
@@ -254,9 +257,6 @@ def parse_args_cli():
     bar.add_argument("--id",
                      help="(FT dist bar only) " +
                           "Taxonomic or functional term id - either a NCBI taxID or a GO term id (GO:XXXXXXX)")
-    bar.add_argument('--target_onto', choices=["mf", "bp", "cc"],
-                     help="(FT dist bar only) " +
-                          "Ontology to restrict to, for function distribution.")
 
     volc = parser_viz.add_argument_group('Volcano Plot')
     volc.add_argument('--fc_name',
diff --git a/metaquantome/data/test/eggnog_out.tab b/metaquantome/data/test/eggnog_out.tab
new file mode 100644
index 0000000..aacf1f2
--- /dev/null
+++ b/metaquantome/data/test/eggnog_out.tab
@@ -0,0 +1,86 @@
+id	name	namespace	NS_mean	WS_mean	int737NS	int737WS	int852NS	int852WS	int867NS	int867WS	int737NS_n_peptide	int737WS_n_peptide	int852NS_n_peptide	int852WS_n_peptide	int867NS_n_peptide	int867WS_n_peptide	int737NS_n_samp_children	int737WS_n_samp_children	int852NS_n_samp_children	int852WS_n_samp_children	int867NS_n_samp_children	int867WS_n_samp_children
+GO:0000166	nucleotide binding	molecular_function	20.812938951673548	22.45576157929862	20.7650729122137	22.987499842675113	20.79350773000872	22.49560727401568	20.87783869875859	21.529790522301813	4	4	4	4	4	4	NA	NA	NA	NA	NA	NA
+GO:0001071	DNA-binding transcription factor activity	molecular_function	22.565242606742277	24.167311075268568	21.893089268686143	23.599025698102558	22.84594388203524	24.924585501706133	22.776436110275178	23.512793496613728	6	6	6	6	6	6	NA	NA	NA	NA	NA	NA
+GO:0003674	molecular_function	molecular_function	32.202118570885766	33.625692028529976	31.840686918838195	32.8424909281718	32.83180714112942	34.480023854232606	31.633746398450782	32.91494272300005	1266	1266	1266	1266	1266	1266	3.0	3.0	3.0	3.0	3.0	3.0
+GO:0003676	nucleic acid binding	molecular_function	30.25093037698607	31.43085103072104	29.937913472980792	30.59335383256552	30.845161857814094	32.36150316005401	29.705896099653934	30.526435326561593	157	157	157	157	157	157	NA	NA	NA	NA	NA	NA
+GO:0003700	DNA-binding transcription factor activity	molecular_function	22.565242606742277	24.167311075268568	21.893089268686143	23.599025698102558	22.84594388203524	24.924585501706133	22.776436110275178	23.512793496613728	6	6	6	6	6	6	NA	NA	NA	NA	NA	NA
+GO:0003735	structural constituent of ribosome	molecular_function	30.30534557843677	31.821379782899044	29.928587784666206	30.97002607431994	30.99541657507592	32.74954451167988	29.607449636552026	30.940089738787087	223	223	223	223	223	223	NA	NA	NA	NA	NA	NA
+GO:0003824	catalytic activity	molecular_function	30.36766333069415	31.4539840896763	29.854935469347254	30.88810790721785	31.069555937411522	32.10624724775867	29.795198215414494	31.04436727161604	460	460	460	460	460	460	6.0	6.0	6.0	6.0	6.0	6.0
+GO:0004601	peroxidase activity	molecular_function	22.41409097280114	23.901461621725065	22.759022561288596	24.16798394832492	23.04930475744847	23.179840531166505	19.91380254980753	24.153246946957942	3	3	3	3	3	3	NA	NA	NA	NA	NA	NA
+GO:0005215	transporter activity	molecular_function	27.900976591628112	29.479455259637742	27.913015663906158	28.62837273869508	28.279925665427992	30.22500417016912	27.3682059667039	29.100547027284204	122	122	122	122	122	122	NA	NA	NA	NA	NA	NA
+GO:0005515	protein binding	molecular_function	26.1164284871433	29.174544348229727	25.799829857039025	28.19021691765738	26.58146220511891	30.16809058912528	25.82428831550019	28.184509229160106	42	42	42	42	42	42	NA	NA	NA	NA	NA	NA
+GO:0005575	cellular_component	cellular_component	34.685343266229125	36.184870717575016	34.28493522359086	35.209816612940415	35.29104303132328	37.18584962146884	34.21269263502253	35.15549388487583	4972	4972	4972	4972	4972	4972	2.0	2.0	2.0	2.0	2.0	2.0
+GO:0005576	extracellular region	cellular_component	29.03332950734754	31.092404353780708	28.554651647908432	29.860708144615202	29.374500338014407	32.19032609007904	29.055634481080187	29.887247592129683	91	91	91	91	91	91	NA	NA	NA	NA	NA	NA
+GO:0005618	cell wall	cellular_component	30.943258616341538	32.22442898652113	30.593210628355216	31.374989233196864	31.59008896736965	33.18563699147242	30.3211431604676	31.21882144634031	318	318	318	318	318	318	NA	NA	NA	NA	NA	NA
+GO:0005622	intracellular	cellular_component	32.041521036252846	33.555115603934574	31.60474241557847	32.506476093112035	32.62402858920744	34.595355556376084	31.65272723138963	32.43484173736598	762	762	762	762	762	762	NA	NA	NA	NA	NA	NA
+GO:0005634	nucleus	cellular_component	22.353582535939296	24.380376999629544	21.664706395362217	23.935454009615782	22.75137866370085	24.95657311427775	22.440596322683014	24.011646018816556	5	5	5	5	5	5	NA	NA	NA	NA	NA	NA
+GO:0005694	chromosome	cellular_component	16.995795337454208	17.88005513895988	16.55843424826055	17.718470028914663	17.158931544013857	14.701501604667767	17.187101801646044	18.876812076278576	1	1	1	1	1	1	NA	NA	NA	NA	NA	NA
+GO:0005737	cytoplasm	cellular_component	32.03917354681039	33.55242804585738	31.60223137159634	32.50238582148551	32.622019285756906	34.59343573092026	31.649874720705107	32.43019300455121	757	757	757	757	757	757	NA	NA	NA	NA	NA	NA
+GO:0005840	ribosome	cellular_component	29.570282392948826	31.000008462235424	29.178022526885364	30.143967872430075	30.259919567689476	31.9854841239404	28.892642073958093	29.90325438593723	104	104	104	104	104	104	NA	NA	NA	NA	NA	NA
+GO:0005886	plasma membrane	cellular_component	31.37639677913559	32.822598505143176	31.016517979118877	31.9269272649713	32.00972169125549	33.77626830325385	30.79784201006799	31.89493732983273	531	531	531	531	531	531	NA	NA	NA	NA	NA	NA
+GO:0005975	carbohydrate metabolic process	biological_process	28.50007376638204	30.28237426335552	27.458177755251626	28.938873766012325	29.288913733626693	31.42492355723029	28.153824509241492	28.9540435785897	76	76	76	76	76	76	NA	NA	NA	NA	NA	NA
+GO:0006091	generation of precursor metabolites and energy	biological_process	28.476052636208106	27.58441084149612	26.71985404185339	27.21618718127208	29.546258395540857	27.603990048666034	27.749246320597017	27.861324807287556	30	30	30	30	30	30	NA	NA	NA	NA	NA	NA
+GO:0006259	DNA metabolic process	biological_process	23.1145956202233	25.466596451556267	23.01220970372323	25.15318401416784	23.19273875671806	25.702826077191503	23.1330166155599	25.491417790794582	23	23	23	23	23	23	NA	NA	NA	NA	NA	NA
+GO:0006351	transcription, DNA-templated	biological_process	23.554845685195755	25.327512958044178	22.928742321216284	24.919525696646303	23.86191068024207	25.978151819711787	23.711744117361153	24.76359519354666	12	12	12	12	12	12	NA	NA	NA	NA	NA	NA
+GO:0006412	translation	biological_process	31.184249667828244	32.49304733713941	30.810593622954084	31.612821140125074	31.846608199857013	33.44558919393182	30.552756663951858	31.553615983772843	336	336	336	336	336	336	NA	NA	NA	NA	NA	NA
+GO:0006457	protein folding	biological_process	26.161909602534724	29.268835134676046	25.70507187486446	28.284518966267495	26.73487273866281	30.274582804205565	25.810545759520373	28.229497749000846	32	32	32	32	32	32	NA	NA	NA	NA	NA	NA
+GO:0006461	protein-containing complex assembly	biological_process	26.399585199900322	27.5427325704944	26.273803756270347	27.296793929780126	27.029805994676643	27.979881528506628	25.49905726464827	27.225857601800755	40	40	40	40	40	40	NA	NA	NA	NA	NA	NA
+GO:0006508	proteolysis	biological_process	20.98930884741588	23.755898881214637	21.026351936902813	23.30350767005192	20.691215725454587	24.525272851621917	21.204259872069773	22.931300855492854	7	7	7	7	7	7	NA	NA	NA	NA	NA	NA
+GO:0006629	lipid metabolic process	biological_process	28.36983482124686	28.430252211795366	27.56806389183547	28.021790131474074	29.170098480464237	28.956158240945065	27.823876046899453	28.12042141110199	37	37	37	37	37	37	NA	NA	NA	NA	NA	NA
+GO:0006807	nitrogen compound metabolic process	biological_process	31.634402203873446	33.089118314847966	31.327468260591413	32.26516141567654	32.23937122172059	33.9854328532233	31.058133170258596	32.28774935458524	763	763	763	763	763	763	NA	NA	NA	NA	NA	NA
+GO:0006810	transport	biological_process	27.06638108596664	28.7939728267842	27.123487380642253	27.961560677842773	27.41442853866987	29.54089148803661	26.524314216561017	28.398434861723516	88	88	88	88	88	88	NA	NA	NA	NA	NA	NA
+GO:0006950	response to stress	biological_process	29.97169400936766	31.398140549294745	29.609540409209433	30.439676321523997	30.56892837947536	32.39351710338804	29.47592574236141	30.374268850182293	124	124	124	124	124	124	NA	NA	NA	NA	NA	NA
+GO:0008150	biological_process	biological_process	34.019738967068655	35.47157315819036	33.63675686280236	34.633142097393	34.65371389442256	36.37922513439361	33.4661316117273	34.64727986352997	3731	3731	3731	3731	3731	3731	2.0	2.0	2.0	2.0	2.0	2.0
+GO:0008152	metabolic process	biological_process	33.176511447719406	34.46765273407452	32.72808071923437	33.639915914834006	33.850084632895765	35.36806428713841	32.60334923408266	33.656659298817424	1837	1837	1837	1837	1837	1837	3.0	3.0	3.0	3.0	3.0	3.0
+GO:0008233	peptidase activity	molecular_function	21.646175716950484	24.279601953314263	21.41650156143412	23.660307673176547	21.48651165907834	24.759311109615826	21.970339990561765	24.212491890784182	9	9	9	9	9	9	NA	NA	NA	NA	NA	NA
+GO:0009055	electron transfer activity	molecular_function	20.225242709505515	21.100600894944694	20.72905594225216	21.628393645486945	19.95934022407602	19.25989794663786	19.810907592531446	21.455721532499105	4	4	4	4	4	4	NA	NA	NA	NA	NA	NA
+GO:0009058	biosynthetic process	biological_process	31.889352453115976	33.206858714222314	31.503842669120207	32.334463395813636	32.54570604921448	34.15405195860303	31.286383280759246	32.27901382185692	576	576	576	576	576	576	NA	NA	NA	NA	NA	NA
+GO:0009276	Gram-negative-bacterium-type cell wall	cellular_component	21.33190558510762	22.85758463193712	21.883592377405837	22.457216537866476	20.759260278457397	23.72316976344155	21.117361919109083	21.6069267890589	3	3	3	3	3	3	NA	NA	NA	NA	NA	NA
+GO:0009405	pathogenesis	biological_process	22.529445393732583	24.20187894950073	22.92172347222969	24.60791100119616	23.088410705552196	23.47601466375357	20.307307545398245	24.299933046990365	5	5	5	5	5	5	NA	NA	NA	NA	NA	NA
+GO:0009579	thylakoid	cellular_component	25.353680249931127	27.285297904344894	25.342182315592083	26.424195764528378	25.80292592128707	28.1355809968459	24.715699833869213	26.65627349046008	22	22	22	22	22	22	NA	NA	NA	NA	NA	NA
+GO:0009628	response to abiotic stimulus	biological_process	18.8275313018987	21.79054944375181	19.6926653258028	22.680102536611475	17.863667397131824	21.04621131116791	18.240711894572037	20.92924907329018	2	2	2	2	2	2	NA	NA	NA	NA	NA	NA
+GO:0016020	membrane	cellular_component	31.528253761182597	32.982999790153386	31.131344506615378	32.06119313899092	32.17948128349856	33.93976546706241	30.950513653247402	32.07032342185347	619	619	619	619	619	619	2.0	2.0	2.0	2.0	2.0	2.0
+GO:0016032	viral process	biological_process	26.726751016273404	30.44916450138337	26.3289762021563	29.24870878310248	27.143455870664877	31.53670581145155	26.58448797973924	29.263908857591957	48	48	48	48	48	48	NA	NA	NA	NA	NA	NA
+GO:0016070	RNA metabolic process	biological_process	26.45338702174674	28.136904077882768	26.167786605368914	27.693875726078975	26.85197575978054	28.5989127651248	26.238112288760675	27.963833221240176	81	81	81	81	81	81	NA	NA	NA	NA	NA	NA
+GO:0016209	antioxidant activity	molecular_function	22.41409097280114	23.901461621725065	22.759022561288596	24.16798394832492	23.04930475744847	23.179840531166505	19.91380254980753	24.153246946957942	3	3	3	3	3	3	1.0	1.0	1.0	1.0	1.0	1.0
+GO:0016226	iron-sulfur cluster assembly	biological_process	19.65006504676166	22.07545569833447	18.834101796133126	20.985531681162964	20.345183383938142	22.27903209222981	19.351310089289722	22.538727022340424	2	2	2	2	2	2	NA	NA	NA	NA	NA	NA
+GO:0016301	kinase activity	molecular_function	24.93317951093711	26.65441514255475	24.715997432934422	26.625786690219854	25.450562474921217	26.771723165297985	24.43581465302581	26.55735954195167	26	26	26	26	26	26	NA	NA	NA	NA	NA	NA
+GO:0016310	phosphorylation	biological_process	23.998863294953946	25.60522022591701	23.71687655928068	25.520121750432512	24.34292143855308	25.79159283223296	23.85997752831331	25.483954571825823	14	14	14	14	14	14	NA	NA	NA	NA	NA	NA
+GO:0016469	proton-transporting two-sector ATPase complex	cellular_component	25.28794684788722	27.24587614485443	25.295947686691342	26.356164977102935	25.711155479030335	28.11368716490646	24.674277395923806	26.59158117346957	19	19	19	19	19	19	NA	NA	NA	NA	NA	NA
+GO:0016491	oxidoreductase activity	molecular_function	27.58652252995369	28.905603480276074	27.985097180437833	28.365132707194647	27.481399891255478	29.465403446019753	27.175459816058066	28.65129459711376	89	89	89	89	89	89	1.0	1.0	1.0	1.0	1.0	1.0
+GO:0016740	transferase activity	molecular_function	28.50837388221859	28.807649479434136	27.39239888384231	28.65241843647481	29.490897995643707	29.07422046729016	27.678815181978777	28.654148722849303	114	114	114	114	114	114	NA	NA	NA	NA	NA	NA
+GO:0016779	nucleotidyltransferase activity	molecular_function	24.60664199001104	26.52077938453401	24.552213262179535	26.283698278655795	24.98294371307926	26.787848195702427	24.1703158148389	26.44401130611569	34	34	34	34	34	34	NA	NA	NA	NA	NA	NA
+GO:0016787	hydrolase activity	molecular_function	27.025000187725745	29.337867488809646	26.85316498178462	28.507909960324447	27.525195833256763	30.18814481171493	26.506055027911508	28.681802264539737	81	81	81	81	81	81	1.0	1.0	1.0	1.0	1.0	1.0
+GO:0016791	phosphatase activity	molecular_function	20.00066771187133	20.78170476021841	20.25008621218474	21.582145270583805	20.397216014586114	19.780064055471357	18.985927380114088	20.38375388573837	2	2	2	2	2	2	NA	NA	NA	NA	NA	NA
+GO:0016829	lyase activity	molecular_function	27.478337129041027	28.340600122036214	26.77080076559664	27.63201937985484	28.221034427334097	28.88731436350299	26.99300717635823	28.2317442172665	30	30	30	30	30	30	NA	NA	NA	NA	NA	NA
+GO:0016853	isomerase activity	molecular_function	27.556366532632364	28.99593251208595	26.78152635995574	28.345616854001943	28.35467178948097	29.872001724155567	26.992506164257467	28.07315169940884	51	51	51	51	51	51	NA	NA	NA	NA	NA	NA
+GO:0016874	ligase activity	molecular_function	27.781274466089975	27.98802808523111	27.041602139846304	27.3667915182792	28.53270147037394	28.494842433005434	27.30266193548093	27.881743420789515	68	68	68	68	68	68	NA	NA	NA	NA	NA	NA
+GO:0017004	cytochrome complex assembly	biological_process	20.225242709505515	21.100600894944694	20.72905594225216	21.628393645486945	19.95934022407602	19.25989794663786	19.810907592531446	21.455721532499105	4	4	4	4	4	4	NA	NA	NA	NA	NA	NA
+GO:0017111	nucleoside-triphosphatase activity	molecular_function	26.9203560265504	29.258693703014572	26.743480093566824	28.37941725517068	27.436730499780463	30.135982919997865	26.37458938451569	28.56772887744634	62	62	62	62	62	62	NA	NA	NA	NA	NA	NA
+GO:0019222	regulation of metabolic process	biological_process	27.36667086498401	28.93890010609648	27.04946294995458	28.27217010077677	27.83628460141301	29.650196973721396	27.067358471035437	28.490375560097092	69	69	69	69	69	69	NA	NA	NA	NA	NA	NA
+GO:0019842	vitamin binding	molecular_function	22.806248935836884	22.011490996944747	23.098338690639142	21.915667534529604	23.501586891220448	20.68351222572401	20.12885763271485	22.747824058779926	3	3	3	3	3	3	NA	NA	NA	NA	NA	NA
+GO:0019867	outer membrane	cellular_component	25.415082770326695	28.510762440296578	25.231946357349198	27.376792354975464	25.817648488108343	29.530761938164275	25.088380976575902	27.557383851321212	20	20	20	20	20	20	NA	NA	NA	NA	NA	NA
+GO:0019898	extrinsic component of membrane	cellular_component	20.36761379810666	23.497751798806537	19.979369149490662	23.258049998983637	20.486639715229668	24.016003721592064	20.569172326391783	23.025544477082565	4	4	4	4	4	4	NA	NA	NA	NA	NA	NA
+GO:0030170	pyridoxal phosphate binding	molecular_function	22.806248935836884	22.011490996944747	23.098338690639142	21.915667534529604	23.501586891220448	20.68351222572401	20.12885763271485	22.747824058779926	3	3	3	3	3	3	NA	NA	NA	NA	NA	NA
+GO:0031224	intrinsic component of membrane	cellular_component	22.910608016279205	24.128761674782414	23.66002749550621	23.628221897286817	22.24034621379282	23.954781526554825	22.37630278200838	24.621141825491804	10	10	10	10	10	10	NA	NA	NA	NA	NA	NA
+GO:0042221	response to chemical	biological_process	29.846732488285266	30.82960964435407	29.48085230420287	29.927861187821655	30.46292013318048	31.815619543137878	29.313877111397073	29.78287638148735	85	85	85	85	85	85	NA	NA	NA	NA	NA	NA
+GO:0042575	DNA polymerase complex	cellular_component	21.114278726118705	23.913856044712038	20.42856893793263	23.231729853797603	21.47999905741408	24.394554762978707	21.23830941501284	23.886673070520324	4	4	4	4	4	4	NA	NA	NA	NA	NA	NA
+GO:0042597	periplasmic space	cellular_component	25.268958110855497	25.79936559875487	25.139354222645284	25.806381994330984	25.914188957744674	25.258934408385418	24.330881061947682	26.18624206335072	12	12	12	12	12	12	NA	NA	NA	NA	NA	NA
+GO:0043167	ion binding	molecular_function	28.382979691819703	29.972241947491415	28.144942866955635	29.043051028939487	28.90574219882466	30.857632792224177	27.899797738312056	29.30011834834939	124	124	124	124	124	124	NA	NA	NA	NA	NA	NA
+GO:0043934	sporulation	biological_process	21.819336639176775	24.663630268331595	21.56568762493804	22.642020819197167	22.056876090989284	25.6338796508546	21.79349529775704	24.33181748567803	5	5	5	5	5	5	NA	NA	NA	NA	NA	NA
+GO:0044281	small molecule metabolic process	biological_process	25.012842362774183	25.90901402686175	24.72626866007268	26.364077076728655	25.61544115425635	25.596408936715683	24.417099873271656	25.629679099945086	20	20	20	20	20	20	NA	NA	NA	NA	NA	NA
+GO:0044699	biological_process	biological_process	27.981891697175033	29.592287291947606	27.975097190061692	29.033750261528397	28.33947283186422	30.287810993491505	27.51480237139821	29.08087932713026	137	137	137	137	137	137	2.0	2.0	2.0	2.0	2.0	2.0
+GO:0044710	metabolic process	biological_process	29.790645542410438	30.607298911539157	29.303691676587185	30.034384880231322	30.4615672319471	31.24338378192932	29.264443164263785	30.237026652396988	225	225	225	225	225	225	3.0	3.0	3.0	3.0	3.0	3.0
+GO:0044711	biosynthetic process	biological_process	27.717881954337546	28.773955110588112	27.10937233707042	28.400353974007498	28.41048105976747	29.39342808797226	27.259760568857903	28.24245020030836	53	53	53	53	53	53	NA	NA	NA	NA	NA	NA
+GO:0044723	carbohydrate metabolic process	biological_process	27.44575267247362	28.93667511454001	26.44839962870397	27.900831567406932	28.239639363598602	29.984375112586857	27.05993073142117	27.76867497616788	34	34	34	34	34	34	NA	NA	NA	NA	NA	NA
+GO:0044765	transport	biological_process	26.04906533029382	27.711374637744317	26.034126875808205	26.885308768864174	26.46979009878612	28.474455962693668	25.474956978881448	27.274675747780492	37	37	37	37	37	37	NA	NA	NA	NA	NA	NA
+GO:0045454	cell redox homeostasis	biological_process	22.41409097280114	23.901461621725065	22.759022561288596	24.16798394832492	23.04930475744847	23.179840531166505	19.91380254980753	24.153246946957942	3	3	3	3	3	3	NA	NA	NA	NA	NA	NA
+GO:0046872	metal ion binding	molecular_function	28.16396046753781	29.82645524100592	27.88823881056204	28.792223868491035	28.682351061807047	30.76380911622295	27.732686255651824	29.08156063426504	101	101	101	101	101	101	NA	NA	NA	NA	NA	NA
+GO:0046906	tetrapyrrole binding	molecular_function	24.01179526443486	24.055459707185165	23.912182020709835	24.068709598895403	24.850204325934058	23.786569185138255	22.168267499359477	24.270599026359825	3	3	3	3	3	3	NA	NA	NA	NA	NA	NA
+GO:0050662	coenzyme binding	molecular_function	22.806248935836884	22.011490996944747	23.098338690639142	21.915667534529604	23.501586891220448	20.68351222572401	20.12885763271485	22.747824058779926	3	3	3	3	3	3	1.0	1.0	1.0	1.0	1.0	1.0
+GO:0051536	iron-sulfur cluster binding	molecular_function	21.21809182854753	22.731273747302957	21.37524455609145	22.427625804542384	21.43747285719024	22.515672677707187	20.745526072448154	23.141193109058133	7	7	7	7	7	7	NA	NA	NA	NA	NA	NA
+GO:0065003	protein-containing complex assembly	biological_process	27.734811307556402	29.40675020608573	27.718506635563607	29.019532786299948	28.183537251793837	30.089818898462106	27.10531819329266	28.739820954295137	83	83	83	83	83	83	NA	NA	NA	NA	NA	NA
+GO:0071103	DNA conformation change	biological_process	16.995795337454208	17.88005513895988	16.55843424826055	17.718470028914663	17.158931544013857	14.701501604667767	17.187101801646044	18.876812076278576	1	1	1	1	1	1	NA	NA	NA	NA	NA	NA
+GO:0071840	cellular component organization or biogenesis	biological_process	29.63412883824579	31.57248431982154	29.55247245548925	31.0024286599174	30.13364702534564	32.346693272011514	28.993169948040034	30.873854598797546	357	357	357	357	357	357	NA	NA	NA	NA	NA	NA
+GO:0098796	membrane protein complex	cellular_component	26.28794684788722	28.24587614485443	26.295947686691342	27.356164977102935	26.711155479030335	29.11368716490646	25.67427739592381	27.59158117346957	38	38	38	38	38	38	1.0	1.0	1.0	1.0	1.0	1.0
+GO:1902494	catalytic complex	cellular_component	22.384081872043424	24.82912015858508	21.624370963186045	24.243256598150946	22.384594304679887	25.22968557353857	22.87878428049749	24.84878568781543	6	6	6	6	6	6	NA	NA	NA	NA	NA	NA
diff --git a/metaquantome/data/test/eggnog_viz_file.tab b/metaquantome/data/test/eggnog_viz_file.tab
new file mode 100644
index 0000000..cacf235
--- /dev/null
+++ b/metaquantome/data/test/eggnog_viz_file.tab
@@ -0,0 +1,21 @@
+id	name	namespace	NS_mean	WS_mean	int737NS	int737WS	int852NS	int852WS	int867NS	int867WS	int737NS_n_peptide	int737WS_n_peptide	int852NS_n_peptide	int852WS_n_peptide	int867NS_n_peptide	int867WS_n_peptide	int737NS_n_samp_children	int737WS_n_samp_children	int852NS_n_samp_children	int852WS_n_samp_children	int867NS_n_samp_children	int867WS_n_samp_children
+GO:0008152	metabolic process	biological_process	9707895600.63897	34.4676527340745	32.7280807192344	33.639915914834	33.8500846328958	35.3680642871384	32.6033492340827	33.6566592988174	1837	1837	1837	1837	1837	1837	3	3	3	3	3	3
+GO:0009058	biosynthetic process	biological_process	3977879569.3907	33.2068587142223	31.5038426691202	32.3344633958136	32.5457060492145	34.154051958603	31.2863832807592	32.2790138218569	576	576	576	576	576	576	NA	NA	NA	NA	NA	NA
+GO:0006807	nitrogen compound metabolic process	biological_process	3333526855.75693	33.089118314848	31.3274682605914	32.2651614156765	32.2393712217206	33.9854328532233	31.0581331702586	32.2877493545852	763	763	763	763	763	763	NA	NA	NA	NA	NA	NA
+GO:0006412	translation	biological_process	2440026495.81359	32.4930473371394	30.8105936229541	31.6128211401251	31.846608199857	33.4455891939318	30.5527566639519	31.5536159837728	336	336	336	336	336	336	NA	NA	NA	NA	NA	NA
+GO:0006950	response to stress	biological_process	1052880100.76931	31.3981405492947	29.6095404092094	30.439676321524	30.5689283794754	32.393517103388	29.4759257423614	30.3742688501823	124	124	124	124	124	124	NA	NA	NA	NA	NA	NA
+GO:0042221	response to chemical	biological_process	965521061.018174	30.8296096443541	29.4808523042029	29.9278611878217	30.4629201331805	31.8156195431379	29.3138771113971	29.7828763814873	85	85	85	85	85	85	NA	NA	NA	NA	NA	NA
+GO:0044710	metabolic process	biological_process	928705245.346089	30.6072989115392	29.3036916765872	30.0343848802313	30.4615672319471	31.2433837819293	29.2644431642638	30.237026652397	225	225	225	225	225	225	3	3	3	3	3	3
+GO:0071840	cellular component organization or biogenesis	biological_process	833223817.553338	31.5724843198215	29.5524724554893	31.0024286599174	30.1336470253456	32.3466932720115	28.99316994804	30.8738545987975	357	357	357	357	357	357	NA	NA	NA	NA	NA	NA
+GO:0005975	carbohydrate metabolic process	biological_process	379644473.58704	30.2823742633555	27.4581777552516	28.9388737660123	29.2889137336267	31.4249235572303	28.1538245092415	28.9540435785897	76	76	76	76	76	76	NA	NA	NA	NA	NA	NA
+GO:0006091	generation of precursor metabolites and energy	biological_process	373375658.545852	27.5844108414961	26.7198540418534	27.2161871812721	29.5462583955409	27.603990048666	27.749246320597	27.8613248072876	30	30	30	30	30	30	NA	NA	NA	NA	NA	NA
+GO:0006629	lipid metabolic process	biological_process	346873604.466979	28.4302522117954	27.5680638918355	28.0217901314741	29.1700984804642	28.9561582409451	27.8238760468995	28.120421411102	37	37	37	37	37	37	NA	NA	NA	NA	NA	NA
+GO:0065003	protein-containing complex assembly	biological_process	223362430.986751	29.4067502060857	27.7185066355636	29.0195327862999	28.1835372517938	30.0898188984621	27.1053181932927	28.7398209542951	83	83	83	83	83	83	NA	NA	NA	NA	NA	NA
+GO:0044711	biosynthetic process	biological_process	220756695.513963	28.7739551105881	27.1093723370704	28.4003539740075	28.4104810597675	29.3934280879723	27.2597605688579	28.2424502003084	53	53	53	53	53	53	NA	NA	NA	NA	NA	NA
+GO:0044723	carbohydrate metabolic process	biological_process	182807836.125096	28.93667511454	26.448399628704	27.9008315674069	28.2396393635986	29.9843751125869	27.0599307314212	27.7686749761679	34	34	34	34	34	34	NA	NA	NA	NA	NA	NA
+GO:0019222	regulation of metabolic process	biological_process	173056856.95311	28.9389001060965	27.0494629499546	28.2721701007768	27.836284601413	29.6501969737214	27.0673584710354	28.4903755600971	69	69	69	69	69	69	NA	NA	NA	NA	NA	NA
+GO:0006810	transport	biological_process	140537615.614438	28.7939728267842	27.1234873806423	27.9615606778428	27.4144285386699	29.5408914880366	26.524314216561	28.3984348617235	88	88	88	88	88	88	NA	NA	NA	NA	NA	NA
+GO:0016032	viral process	biological_process	111058995.875521	30.4491645013834	26.3289762021563	29.2487087831025	27.1434558706649	31.5367058114516	26.5844879797392	29.263908857592	48	48	48	48	48	48	NA	NA	NA	NA	NA	NA
+GO:0016070	RNA metabolic process	biological_process	91888884.7293597	28.1369040778828	26.1677866053689	27.693875726079	26.8519757597805	28.5989127651248	26.2381122887607	27.9638332212402	81	81	81	81	81	81	NA	NA	NA	NA	NA	NA
+GO:0006461	protein-containing complex assembly	biological_process	88525220.719722	27.5427325704944	26.2738037562703	27.2967939297801	27.0298059946766	27.9798815285066	25.4990572646483	27.2258576018008	40	40	40	40	40	40	NA	NA	NA	NA	NA	NA
+GO:0006457	protein folding	biological_process	75079182.3365918	29.268835134676	25.7050718748645	28.2845189662675	26.7348727386628	30.2745828042056	25.8105457595204	28.2294977490008	32	32	32	32	32	32	NA	NA	NA	NA	NA	NA
diff --git a/metaquantome/data/test/test_eggnog_viz.png b/metaquantome/data/test/test_eggnog_viz.png
new file mode 100644
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diff --git a/metaquantome/data/test/viz_f_filt.tab b/metaquantome/data/test/viz_f_filt.tab
new file mode 100644
index 0000000..9bde0d9
--- /dev/null
+++ b/metaquantome/data/test/viz_f_filt.tab
@@ -0,0 +1,3 @@
+id	name	namespace	NS_mean	WS_mean	int737NS	int737WS	int852NS	int852WS	int867NS	int867WS	int737NS_n_peptide	int737WS_n_peptide	int852NS_n_peptide	int852WS_n_peptide	int867NS_n_peptide	int867WS_n_peptide	int737NS_n_samp_children	int737WS_n_samp_children	int852NS_n_samp_children	int852WS_n_samp_children	int867NS_n_samp_children	int867WS_n_samp_children
+GO:0003824	catalytic activity	molecular_function	1385407584.13192	31.4539840896763	29.8549354693473	30.8881079072179	31.0695559374115	32.1062472477587	29.7951982154145	31.044367271616	460	460	460	460	460	460	6	6	6	6	6	6
+GO:0003735	structural constituent of ribosome	molecular_function	1326838449.29867	31.821379782899	29.9285877846662	30.9700260743199	30.9954165750759	32.7495445116799	29.607449636552	30.9400897387871	223	223	223	223	223	223	NA	NA	NA	NA	NA	NA
diff --git a/metaquantome/modules/run_viz.py b/metaquantome/modules/run_viz.py
index 8bec820..f139a5b 100644
--- a/metaquantome/modules/run_viz.py
+++ b/metaquantome/modules/run_viz.py
@@ -22,7 +22,7 @@ def run_viz(plottype, img, infile, strip=None,
     r_script_path = os.path.join(BASE_DIR, 'modules', 'viz.R')
     cmd = ['Rscript', '--vanilla', r_script_path, plottype, img, infile]
     if plottype == "bar":
-        cmd += [mode, meancol, nterms, width, height, target_rank, barcol, tabfile]
+        cmd += [mode, meancol, nterms, width, height, target_rank, target_onto, barcol, tabfile]
     elif plottype == "volcano":
         cmd += [str(textannot), fc_name, flip_fc, gosplit, width, height, tabfile]
     elif plottype == "heatmap":
diff --git a/metaquantome/modules/viz.R b/metaquantome/modules/viz.R
index c3ee093..238d57b 100644
--- a/metaquantome/modules/viz.R
+++ b/metaquantome/modules/viz.R
@@ -98,12 +98,31 @@ check_ranks <- function(df, target_rank) {
     }
 }
 
+short_onto_to_long <- c("bp" = "biological_process",
+                        "mf"="molecular_function",
+                        "cc"="cellular_component")
+
+filter_to_desired_onto <- function(df, target_onto) {
+    if (is.null(target_onto)) {
+        stop('must provide target ontology for function or function-taxonomy mode',
+             call. = FALSE)
+    }
+    long_onto <- short_onto_to_long[target_onto]
+    df <- df[df[, "namespace"] == long_onto, ]
+    # also, remove any bp, cc, or mf rows
+    df <- df[!(df[, "name"] %in% short_onto_to_long), ]
+    if (nrow(df) == 0) {
+        stop(paste0("No terms in the dataframe come from the desired ontology (", target_onto, ")"))
+    }
+    return(df)
+}
+
 ####### ==================== #######
 #              BARPLOT             #
 ####### ==================== #######
 mq_barplot <- function(df, img, mode, meancol,
-                       nterms, width, height, target_rank, int_barcol,
-                       tabfile){
+                       nterms, width, height, target_rank, target_onto,
+                       int_barcol, tabfile){
     if (!(meancol %in% names(df))){
         stop('Mean column name not found in dataframe. Check spelling and try again.',
              call. = FALSE)
@@ -114,8 +133,12 @@ mq_barplot <- function(df, img, mode, meancol,
         # filter
         df <- df[df[, "rank"] == target_rank, ]
     }
+    if (mode == "f") {
+        df <- filter_to_desired_onto(df, target_onto)
+    }
     # exponentiate
     df[, meancol] <- 2^df[, meancol]
+
     # reorder, for taking the top N terms
     reord <- df[order(df[, meancol], decreasing=TRUE), ]
     # take top N terms or number of rows, whichever is less
@@ -132,7 +155,7 @@ mq_barplot <- function(df, img, mode, meancol,
 
     ggplot(sub_reord) +
       geom_bar(aes_(x = reorder(sub_reord[, barnamecol], -sub_reord[, meancol]),
-                    y = as.name(meancol)), stat = "identity", fill = barcol, col = "black") +
+                    y = as.name(meancol)), stat = "identity", fill = barcol, col = "black", position = "dodge") +
       theme_bw() +
       labs(x = xlab, y = "Total Peptide Intensity") +
       theme(axis.text.x = element_text(angle = X_AXIS_ROT, hjust = 1))
@@ -166,14 +189,18 @@ barplot_cli <- function(args){
     width <- as.numeric(args[7])
     height <- as.numeric(args[8])
     target_rank <- args[9]
-    barcol <- as.numeric(args[10])
-    tabfile <- args[11]
+    if (target_rank == "None") target_rank <- NULL
+    target_onto <- args[10]
+    if (target_onto == "None") target_onto <- NULL
+    barcol <- as.numeric(args[11])
+    tabfile <- args[12]
     if (tabfile == "None") tabfile <- NULL
     plt <- mq_barplot(df, img=img, mode=mode,
                       meancol=meancol,
                       nterms=nterms,
                       height=height, width=width,
-                      target_rank=target_rank, int_barcol=barcol,
+                      target_rank=target_rank, target_onto = target_onto,
+                      int_barcol=barcol,
                       tabfile=tabfile)
 }
 
@@ -475,10 +502,6 @@ volcano_cli <- function(args){
 ####### ==================== #######
 #              FT DIST             #
 ####### ==================== #######
-short_onto_to_long <- c("bp" = "biological_process",
-                        "mf"="molecular_function",
-                        "cc"="cellular_component")
-
 mq_ft_dist <- function(df, img, whichway, name, id, meancol,
                        nterms, width, height, target_rank, target_onto,
                        int_barcol, tabfile){
@@ -515,13 +538,7 @@ mq_ft_dist <- function(df, img, whichway, name, id, meancol,
         check_ranks(df, target_rank)
         df <- df[df[, "rank"] == target_rank, ]
     } else if (whichway == "f_dist"){
-        long_onto <- short_onto_to_long[target_onto]
-        df <- df[df[, "namespace"] == long_onto, ]
-        # also, remove any bp, cc, or mf rows
-        df <- df[!(df[, "name"] %in% short_onto_to_long), ]
-        if (nrow(df) == 0) {
-            stop(paste0("No terms in the dataframe come from the desired ontology (", target_onto, ")"))
-        }
+        df <- filter_to_desired_onto(df, target_onto)
     } else {
     	stop("Wrong whichway - should be t_dist or f_dist.")
     }
diff --git a/tests/travis/testCLI.py b/tests/travis/testCLI.py
index e060752..f512901 100644
--- a/tests/travis/testCLI.py
+++ b/tests/travis/testCLI.py
@@ -76,6 +76,22 @@ def testVizTabfile(self):
         self.assertEqual(b'3', nline.stdout.strip().split()[0])
         os.remove(tabfile)
 
+    def testFuncBar(self):
+        infile = testfile('eggnog_out.tab')
+        imgfile = testfile('test_eggnog_viz.png')
+        samps = testfile('rudney_samples.tab')
+        tabfile = testfile("eggnog_viz_file.tab")
+        cmd = ' '.join([
+            'python3 metaquantome/cli.py viz -m f --plottype bar '
+            '--infile', infile,
+            '--img', imgfile,
+            '--samps', samps,
+            '--nterms 20 --meancol NS_mean --target_onto bp',
+            '--tabfile', tabfile
+        ])
+        test_status = subprocess.call(cmd, shell=True)
+        self.assertEqual(test_status, 0)
+
     def testHeatmapViz(self):
         infile = testfile('ec_ttest_tested.tab')
         imgfile = testfile('cli_heatmap_viz.png')
diff --git a/tests/travis/testExpand.py b/tests/travis/testExpand.py
index ff7be55..bcfda43 100644
--- a/tests/travis/testExpand.py
+++ b/tests/travis/testExpand.py
@@ -57,8 +57,8 @@ def testSingleInt(self):
         self.assertEqual(go_df.loc["GO:0008152"]['int'], np.log2(100))
 
     def testMultipleInt(self):
-        func=testfile('multiple_func.tab')
-        int=testfile('multiple_int.tab')
+        func = testfile('multiple_func.tab')
+        int = testfile('multiple_int.tab')
         go_df = expand.expand('f', sinfo='{"s1": ["int1", "int2", "int3"]}', int_file=int, pep_colname_int='peptide',
                               pep_colname_func='peptide', pep_colname_tax='peptide', data_dir=TEST_DIR, func_file=func,
                               func_colname='go', ontology='go')
@@ -84,10 +84,11 @@ def testNopep(self):
     def testSlimDown(self):
         func=testfile('func_eggnog.tab')
         int=testfile('int_eggnog.tab')
+        outfile=testfile('eggnog_out.tab')
         sinfo='{"NS": ["int737NS", "int852NS", "int867NS"], "WS": ["int737WS", "int852WS", "int867WS"]}'
         go_df = expand.expand('f', sinfo=sinfo, int_file=int, pep_colname_int='peptide', pep_colname_func='peptide',
                               pep_colname_tax='peptide', data_dir=TEST_DIR, func_file=func, func_colname='go', ontology='go',
-                              slim_down=True)
+                              slim_down=True, outfile=outfile)
         # test that all go terms are in slim
         # load slim
         returned_gos = set(go_df['id'])
diff --git a/tests/travis/testRunViz.py b/tests/travis/testRunViz.py
index eec134d..8755058 100644
--- a/tests/travis/testRunViz.py
+++ b/tests/travis/testRunViz.py
@@ -1,5 +1,6 @@
 import unittest
 import os
+import pandas as pd
 
 from metaquantome.util.testutils import testfile, TTEST_SINFO
 from metaquantome.modules.run_viz import run_viz
@@ -21,6 +22,33 @@ def testBasicTaxBar(self):
                 nterms='2', meancol='samp1_mean',
                 target_rank="genus", barcol="6")
 
+    def testFuncBar(self):
+        infile = testfile('eggnog_out.tab')
+        tabfile = testfile('viz_f_filt.tab')
+        # bp
+        run_viz('bar', self.img, infile, mode='f',
+                nterms='2', meancol='NS_mean',
+                target_onto='bp', barcol='1', tabfile=tabfile)
+        df = pd.read_csv(tabfile, sep='\t')
+        namespace = df.namespace.unique()
+        self.assertEqual(namespace, ['biological_process'])
+
+        # cc
+        run_viz('bar', self.img, infile, mode='f',
+                nterms='2', meancol='NS_mean',
+                target_onto='cc', barcol='1', tabfile=tabfile)
+        df = pd.read_csv(tabfile, sep='\t')
+        namespace = df.namespace.unique()
+        self.assertEqual(namespace, ['cellular_component'])
+
+        # mf
+        run_viz('bar', self.img, infile, mode='f',
+                nterms='2', meancol='NS_mean',
+                target_onto='mf', barcol='1', tabfile=tabfile)
+        df = pd.read_csv(tabfile, sep='\t')
+        namespace = df.namespace.unique()
+        self.assertEqual(namespace, ['molecular_function'])
+
     def testVolcano(self):
         infile = testfile('cli_mult_test_out.tab')
         run_viz('volcano', self.img, infile,
@@ -70,6 +98,13 @@ def testFtDist(self):
                 target_rank="genus",
                 nterms="all")
 
+        # f dist
+        run_viz('ft_dist', self.img, infile,
+                meancol="s1_mean",
+                whichway='f_dist',
+                target_onto="bp",
+                nterms="all", id=209)
+
         # test tabfile
         tabfile = testfile("tmp")
         run_viz('ft_dist', self.img, infile,

From 47456247ea799570ba7b4ca9f594f45a5f59df89 Mon Sep 17 00:00:00 2001
From: Caleb Easterly <caleb.easterly@gmail.com>
Date: Sun, 31 Mar 2019 19:40:02 -0500
Subject: [PATCH 22/23] bump version to 0.99.5

---
 setup.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/setup.py b/setup.py
index 0f6310b..a9bbc29 100644
--- a/setup.py
+++ b/setup.py
@@ -1,6 +1,6 @@
 from setuptools import setup, find_packages
 
-VERSION = '0.99.4a0'
+VERSION = '0.99.5'
 URL = 'https://github.com/galaxyproteomics/metaquantome'
 AUTHOR = 'Caleb Easterly'
 AUTHOR_EMAIL = 'caleb.easterly@gmail.com'

From d6d5f582cfdc2d3efd01623094326e45157bdaf4 Mon Sep 17 00:00:00 2001
From: Caleb Easterly <caleb.easterly@gmail.com>
Date: Mon, 1 Apr 2019 10:06:59 -0500
Subject: [PATCH 23/23] remove print

---
 tests/travis/testAnnotationHierarchy.py | 2 --
 1 file changed, 2 deletions(-)

diff --git a/tests/travis/testAnnotationHierarchy.py b/tests/travis/testAnnotationHierarchy.py
index f5d86c1..d58a26c 100644
--- a/tests/travis/testAnnotationHierarchy.py
+++ b/tests/travis/testAnnotationHierarchy.py
@@ -175,8 +175,6 @@ def testToDataframe(self):
                                        '6.-.-.-',
                                        '6.5.-.-']).sort_index(axis=0).sort_index(axis=1)
         df = ah.to_dataframe().sort_index(axis=0).sort_index(axis=1)
-        print(df)
-        print(exp_df)
         self.assertTrue(df.equals(exp_df))