From 702093dabf2cd3a7f0a07e6eef361a2bad89b485 Mon Sep 17 00:00:00 2001 From: John Lees Date: Wed, 23 Dec 2020 16:37:58 +0000 Subject: [PATCH] Add docs for DBSCAN Also fixes number of assignments in output to terminal --- PopPUNK/models.py | 2 +- docs/{ => images}/bgmm_fit_K10.png | Bin docs/images/dbscan_fit.png | Bin 183225 -> 128481 bytes docs/images/dbscan_fit_min_prop.png | Bin 0 -> 122131 bytes docs/model_fitting.rst | 119 +++++++++++++- docs/options.rst | 232 ++++++++++++++-------------- docs/scripts.rst | 9 ++ 7 files changed, 248 insertions(+), 114 deletions(-) rename docs/{ => images}/bgmm_fit_K10.png (100%) create mode 100644 docs/images/dbscan_fit_min_prop.png diff --git a/PopPUNK/models.py b/PopPUNK/models.py index 8a974d7e..8b8283c9 100644 --- a/PopPUNK/models.py +++ b/PopPUNK/models.py @@ -465,7 +465,7 @@ def plot(self, X=None, y=None): if not hasattr(self, 'subsampled_X'): self.subsampled_X = utils.shuffle(X, random_state=random.randint(1,10000))[0:self.max_samples,] - non_noise = np.sum(np.where(self.labels != -1)) + non_noise = np.sum(self.labels != -1) sys.stderr.write("Fit summary:\n" + "\n".join(["\tNumber of clusters\t" + str(self.n_clusters), "\tNumber of datapoints\t" + str(self.subsampled_X.shape[0]), "\tNumber of assignments\t" + str(non_noise)]) + "\n\n") diff --git a/docs/bgmm_fit_K10.png b/docs/images/bgmm_fit_K10.png similarity index 100% rename from docs/bgmm_fit_K10.png rename to docs/images/bgmm_fit_K10.png diff --git a/docs/images/dbscan_fit.png b/docs/images/dbscan_fit.png index bde3f7a0462adadac2de0a545c9404472ef09b2f..cf7f5d3d9396a668f13f64f7c1b7688a3b0a96ca 100644 GIT binary patch literal 128481 zcmeGEXHZqy+69bmv#ls?D=MI%q9_JXGDuKSkgP<>B9f!9$+5Ks1A>BrWR;wiAQ@B? zR3zstlCzRCcg#Mg`&8W@x9;!nd#UOG?7dlQ&L@m9o-x<`D{>OswlHj=P$=6ZFJDxk zP&R(2P&QCDZ^TdD_B{2%f7aVvkW|`?FPF_X@8SF3tS+nBP$+vt$Ukc&ZSOqA5BaH= zu2B^&4XF0I*7_84U8;<3(qHmh4(z`$aOB?Q9mX#uy{gXE^e9BN{JfFFo4;kv zuC05@=+>u7?YMpD(z$aNe}CF>LH=>a!N=zg9DaEusFPWwr*zEBuf5!COTJEJy8B48 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zzaJ1ZX9EBEq~O1#neYMGe~G^09lJySr8f#{F#rDc|9{ckO8j41x(PL*PRcThcP~LY PDC&n#9!fcQ?#jOb(^^yI literal 0 HcmV?d00001 diff --git a/docs/model_fitting.rst b/docs/model_fitting.rst index c466dbad..c47f2670 100644 --- a/docs/model_fitting.rst +++ b/docs/model_fitting.rst @@ -61,6 +61,8 @@ Common arguments - ``--output``: where to save the model. If not specified this defaults to ``ref-db``. - ``--overwrite``: overwrite any existing files in the output directory. - ``--external-clustering``: any additional labels to add to the cluster output. +- ``--graph-weights``: save the edges weights in the network as their Euclidean core-accessory + distances, rather than as 0 or 1 (useful for visualising the network). External clusters may be other cluster names, such as serotype, sequence type, cgMLST etc. PopPUNK clusters are mapped as one-to-many, so that each strain is labelled with all of @@ -109,7 +111,8 @@ boundary found exactly. However, when there are a very large number of points the likelihood has a tendency to totally override the prior in the estimated posterior, meaning many overlapping components -may be fitted, which may give poor clusters, and is less robust to adding more data. +may be fitted, which may give poor clusters, and is less robust to adding more data. It is possible +for this mode to fail to converge, but it is more likely to produce a bad fit in difficult cases. The key parameter to specify is the maximum number of components ``--K``. You should choose a number based on the number of components you can see on your distance plot. This @@ -256,7 +259,121 @@ the origin is unclear, and doesn't include all of the smallest distances. dbscan ------ +This mode uses `HDBSCAN `__ to find clusters +in the core and accessory distances. This is a versatile clustering algorithm capable of +finding non-linear structure in the data, and can represent irregularly shaped components +well. Possible drawbacks are that a fit cannot always be found (this can happen +for small datasets with sparse points, or for datasets without much structure in the core +and accessory), and that some points are classified as 'noise' so not all of their +edges are included in the network (these are the small black points). +dbscan usually needs little modification to run:: + + poppunk --fit-model dbscan --ref-db listeria + PopPUNK (POPulation Partitioning Using Nucleotide Kmers) + (with backend: sketchlib v1.6.0 + sketchlib: /Users/jlees/miniconda3/envs/pp-py38/lib/python3.8/site-packages/pp_sketchlib.cpython-38-darwin.so) + + Graph-tools OpenMP parallelisation enabled: with 1 threads + Mode: Fitting dbscan model to reference database + + Fit summary: + Number of clusters 5 + Number of datapoints 8128 + Number of assignments 7804 + + Scaled component means + [0.94155383 0.90322459] + [0.00527493 0.07044794] + [0.20945986 0.37491995] + [0.12876077 0.34294888] + [0.11413982 0.24224743] + + Network summary: + Components 31 + Density 0.0897 + Transitivity 1.0000 + Score 0.9103 + Removing 97 sequences + + Done + +In the output to the terminal: + +- The number of clusters is the number of spatial components found in the data. +- Number of datapoints is the number of points used (all-vs-all distances), which + may have been subsampled from the maximum. +- Number of assignments is the number of points assign to one of the spatial components, + so excluding noise points. +- Scaled component means are the centres of the fitted components in the model, where + the core and accessory distances have been rescaled between 0 and 1. These can be + used with :ref:`manual-start`. + +The fit actually just uses the component closest to the origin -- any distances +assigned to this component are within-strain. This is the most important part of the +fit in this mode. In this case the identification of this component is identical to the bgmm +fit, so they produce the same strains. Note there is a small yellow cluster which is poorly +defined, but as it does not impact the within-strain cluster the fit is unaffected: + +.. image:: images/dbscan_fit.png + :alt: DBSCAN fit + :align: center + +You can alter the fit with ``--D``, which sets a maximum number of clusters, and +``--min-cluster-prop`` which sets the minimum number of points a cluster can have (as +a proportion of 'Number of datapoints). If the means of both of the core and accessory are not +strictly increasing between the within-strain and next further component, the clustering +fails. In this case the minimum number of samples per cluster is halved, and the fit is +tried again. If this goes below ten, no fit can be found. + +Increasing ``--min-cluster-prop`` or decreasing ``--D`` gets rid of the errant cluster above:: + + poppunk --fit-model dbscan --ref-db listeria --min-cluster-prop 0.01 + PopPUNK (POPulation Partitioning Using Nucleotide Kmers) + (with backend: sketchlib v1.6.0 + sketchlib: /Users/jlees/miniconda3/envs/pp-py38/lib/python3.8/site-packages/pp_sketchlib.cpython-38-darwin.so) + + Graph-tools OpenMP parallelisation enabled: with 1 threads + Mode: Fitting dbscan model to reference database + + Fit summary: + Number of clusters 4 + Number of datapoints 8128 + Number of assignments 7805 + + Scaled component means + [0.94155383 0.90322459] + [0.00522549 0.06876396] + [0.11515678 0.24488282] + [0.21152104 0.37635505] + + Network summary: + Components 31 + Density 0.0886 + Transitivity 0.9953 + Score 0.9071 + Removing 95 sequences + + Done + +But note that a few more noise points are generated, and fewer samples are removed +when pruning cliques: + +.. image:: images/dbscan_fit_min_prop.png + :alt: DBSCAN fit increasing assignments per cluster + :align: center + +Setting either ``--min-cluster-prop`` or ``--D`` too low can cause the fit to fail:: + + poppunk --fit-model dbscan --ref-db listeria --min-cluster-prop 0.05 + PopPUNK (POPulation Partitioning Using Nucleotide Kmers) + (with backend: sketchlib v1.6.0 + sketchlib: /Users/jlees/miniconda3/envs/pp-py38/lib/python3.8/site-packages/pp_sketchlib.cpython-38-darwin.so) + + Graph-tools OpenMP parallelisation enabled: with 1 threads + Mode: Fitting dbscan model to reference database + + Failed to find distinct clusters in this dataset refine ------ diff --git a/docs/options.rst b/docs/options.rst index 78ca1e69..c93cc9e3 100644 --- a/docs/options.rst +++ b/docs/options.rst @@ -3,129 +3,137 @@ Options Usage:: - usage: PopPUNK [-h] - (--easy-run | --create-db | --fit-model | --refine-model | --assign-query | --use-model | --generate-viz) - [--ref-db REF_DB] [--r-files R_FILES] [--q-files Q_FILES] + poppunk [-h] + (--create-db | --fit-model {bgmm,dbscan,refine,lineage,threshold} | --use-model) + [--ref-db REF_DB] [--r-files R_FILES] [--distances DISTANCES] - [--external-clustering EXTERNAL_CLUSTERING] --output OUTPUT - [--plot-fit PLOT_FIT] [--full-db] [--update-db] [--overwrite] - [--min-k MIN_K] [--max-k MAX_K] [--k-step K_STEP] - [--sketch-size SKETCH_SIZE] [--max-a-dist MAX_A_DIST] - [--ignore-length] [--K K] [--dbscan] [--D D] - [--min-cluster-prop MIN_CLUSTER_PROP] [--pos-shift POS_SHIFT] + [--external-clustering EXTERNAL_CLUSTERING] + [--output OUTPUT] [--plot-fit PLOT_FIT] [--overwrite] + [--graph-weights] [--min-k MIN_K] [--max-k MAX_K] + [--k-step K_STEP] [--sketch-size SKETCH_SIZE] + [--codon-phased] [--min-kmer-count MIN_KMER_COUNT] + [--exact-count] [--strand-preserved] + [--qc-filter {stop,prune,continue}] [--retain-failures] + [--max-a-dist MAX_A_DIST] [--length-sigma LENGTH_SIGMA] + [--length-range LENGTH_RANGE LENGTH_RANGE] + [--prop-n PROP_N] [--upper-n UPPER_N] [--K K] [--D D] + [--min-cluster-prop MIN_CLUSTER_PROP] + [--threshold THRESHOLD] [--pos-shift POS_SHIFT] [--neg-shift NEG_SHIFT] [--manual-start MANUAL_START] [--indiv-refine] [--no-local] [--model-dir MODEL_DIR] - [--previous-clustering PREVIOUS_CLUSTERING] [--core-only] - [--accessory-only] [--subset SUBSET] [--microreact] - [--cytoscape] [--phandango] [--grapetree] [--rapidnj RAPIDNJ] - [--perplexity PERPLEXITY] [--info-csv INFO_CSV] [--mash MASH] - [--threads THREADS] [--no-stream] [--version] + [--ranks RANKS] [--use-accessory] [--threads THREADS] + [--gpu-sketch] [--gpu-dist] [--deviceid DEVICEID] + [--version] -Command line options +Command line options:: - optional arguments: - -h, --help show this help message and exit + optional arguments: + -h, --help show this help message and exit - Mode of operation: - --easy-run Create clusters from assemblies with default settings - --create-db Create pairwise distances database between reference - sequences - --fit-model Fit a mixture model to a reference database - --refine-model Refine the accuracy of a fitted model - --assign-query Assign the cluster of query sequences without re- - running the whole mixture model - --generate-viz Generate files for a visualisation from an existing - database - --use-model Apply a fitted model to a reference database to - restore database files + Mode of operation: + --create-db Create pairwise distances database between + reference sequences + --fit-model {bgmm,dbscan,refine,lineage,threshold} + Fit a mixture model to a reference database + --use-model Apply a fitted model to a reference database to + restore database files + Input files: + --ref-db REF_DB Location of built reference database + --r-files R_FILES File listing reference input assemblies + --distances DISTANCES + Prefix of input pickle of pre-calculated distances + --external-clustering EXTERNAL_CLUSTERING + File with cluster definitions or other labels + generated with any other method. - Input files: - --ref-db REF_DB Location of built reference database - --r-files R_FILES File listing reference input assemblies - --q-files Q_FILES File listing query input assemblies - --distances DISTANCES - Prefix of input pickle of pre-calculated distances - --external-clustering EXTERNAL_CLUSTERING - File with cluster definitions or other labels - generated with any other method. + Output options: + --output OUTPUT Prefix for output files + --plot-fit PLOT_FIT Create this many plots of some fits relating k-mer + to core/accessory distances [default = 0] + --overwrite Overwrite any existing database files + --graph-weights Save within-strain Euclidean distances into the + graph - Output options: - --output OUTPUT Prefix for output files (required) - --plot-fit PLOT_FIT Create this many plots of some fits relating k-mer to - core/accessory distances [default = 0] - --full-db Keep full reference database, not just representatives - --update-db Update reference database with query sequences - --overwrite Overwrite any existing database files + Create DB options: + --min-k MIN_K Minimum kmer length [default = 13] + --max-k MAX_K Maximum kmer length [default = 29] + --k-step K_STEP K-mer step size [default = 4] + --sketch-size SKETCH_SIZE + Kmer sketch size [default = 10000] + --codon-phased Used codon phased seeds X--X--X [default = False] + --min-kmer-count MIN_KMER_COUNT + Minimum k-mer count when using reads as input + [default = 0] + --exact-count Use the exact k-mer counter with reads [default = + use countmin counter] + --strand-preserved Treat input as being on the same strand, and + ignore reverse complement k-mers [default = use + canonical k-mers] - Kmer comparison options: - --min-k MIN_K Minimum kmer length [default = 9] - --max-k MAX_K Maximum kmer length [default = 29] - --k-step K_STEP K-mer step size [default = 4] - --sketch-size SKETCH_SIZE - Kmer sketch size [default = 10000] + Quality control options: + --qc-filter {stop,prune,continue} + Behaviour following sequence QC step: "stop" + [default], "prune" (analyse data passing QC), or + "continue" (analyse all data) + --retain-failures Retain sketches of genomes that do not pass QC + filters in separate database [default = False] + --max-a-dist MAX_A_DIST + Maximum accessory distance to permit [default = + 0.5] + --length-sigma LENGTH_SIGMA + Number of standard deviations of length + distribution beyond which sequences will be + excluded [default = 5] + --length-range LENGTH_RANGE LENGTH_RANGE + Allowed length range, outside of which sequences + will be excluded [two values needed - lower and + upper bounds] + --prop-n PROP_N Threshold ambiguous base proportion above which + sequences will be excluded [default = 0.1] + --upper-n UPPER_N Threshold ambiguous base count above which + sequences will be excluded - Quality control options: - --max-a-dist MAX_A_DIST - Maximum accessory distance to permit [default = 0.5] - --ignore-length Ignore outliers in terms of assembly length [default = - False] + Model fit options: + --K K Maximum number of mixture components [default = 2] + --D D Maximum number of clusters in DBSCAN fitting + [default = 100] + --min-cluster-prop MIN_CLUSTER_PROP + Minimum proportion of points in a cluster in + DBSCAN fitting [default = 0.0001] + --threshold THRESHOLD + Cutoff if using --fit-model threshold - Model fit options: - --K K Maximum number of mixture components [default = 2] - --dbscan Use DBSCAN rather than mixture model - --D D Maximum number of clusters in DBSCAN fitting [default - = 100] - --min-cluster-prop MIN_CLUSTER_PROP - Minimum proportion of points in a cluster in DBSCAN - fitting [default = 0.0001] + Refine model options: + --pos-shift POS_SHIFT + Maximum amount to move the boundary away from + origin [default = to between-strain mean] + --neg-shift NEG_SHIFT + Maximum amount to move the boundary towards the + origin [default = to within-strain mean] + --manual-start MANUAL_START + A file containing information for a start point. + See documentation for help. + --indiv-refine Also run refinement for core and accessory + individually + --no-local Do not perform the local optimization step (speed + up on very large datasets) + --model-dir MODEL_DIR + Directory containing model to use for assigning + queries to clusters [default = reference database + directory] - Refine model options: - --pos-shift POS_SHIFT - Maximum amount to move the boundary away from origin - [default = 0.2] - --neg-shift NEG_SHIFT - Maximum amount to move the boundary towards the origin - [default = 0.4] - --manual-start MANUAL_START - A file containing information for a start point. See - documentation for help. - --indiv-refine Also run refinement for core and accessory - individually - --no-local Do not perform the local optimization step (speed up - on very large datasets) + Lineage analysis options: + --ranks RANKS Comma separated list of ranks used in lineage + clustering [default = 1,2,3] + --use-accessory Use accessory distances for lineage definitions + [default = use core distances] - Database querying options: - --model-dir MODEL_DIR - Directory containing model to use for assigning - queries to clusters [default = reference database - directory] - --previous-clustering PREVIOUS_CLUSTERING - Directory containing previous cluster definitions and - network [default = use that in the directory - containing the model] - --core-only Use a core-distance only model for assigning queries - [default = False] - --accessory-only Use an accessory-distance only model for assigning - queries [default = False] - - Further analysis options: - --subset SUBSET File with list of sequences to include in - visualisation (with --generate-viz only) - --microreact Generate output files for microreact visualisation - --cytoscape Generate network output files for Cytoscape - --phandango Generate phylogeny and TSV for Phandango visualisation - --grapetree Generate phylogeny and CSV for grapetree visualisation - --rapidnj RAPIDNJ Path to rapidNJ binary to build NJ tree for Microreact - --perplexity PERPLEXITY - Perplexity used to calculate t-SNE projection (with - --microreact) [default=20.0] - --info-csv INFO_CSV Epidemiological information CSV formatted for - microreact (can be used with other outputs) - - Other options: - --mash MASH Location of mash executable - --threads THREADS Number of threads to use [default = 1] - --no-stream Use temporary files for mash dist interfacing. Reduce - memory use/increase disk use for large datasets - --version show program's version number and exit + Other options: + --threads THREADS Number of threads to use [default = 1] + --gpu-sketch Use a GPU when calculating sketches (read data + only) [default = False] + --gpu-dist Use a GPU when calculating distances [default = + False] + --deviceid DEVICEID CUDA device ID, if using GPU [default = 0] + --version show program's version number and exit diff --git a/docs/scripts.rst b/docs/scripts.rst index ef041d40..77d9efc1 100644 --- a/docs/scripts.rst +++ b/docs/scripts.rst @@ -22,6 +22,15 @@ Previous versions of the software had an ``--easy-run`` mode which would run a p This is now available as ``poppunk_easy_run.py`` which will chain calls to ``poppunk`` and ``poppunk_visualise`` to replicate this functionality. +Adding weights to the network +----------------------------- +Converts binary within-cluster edge weights to the Euclidean core-accessory distance. +This is equivalent to running with ``--graph-weights``:: + + poppunk_add_weights _graph.gt .dists + +Default output is a graph-tool file. Add ``--graphml`` to save as .graphml instead. + Writing the pairwise distances to an output file ------------------------------------------------ By default PopPUNK does not write the calculated :math:`\pi_n` and :math:`a` distances out, as this