From 9902c41c08a12df3454a04ed9a9ded99b0e12278 Mon Sep 17 00:00:00 2001 From: Katherine Do <87382604+katherine-d21@users.noreply.github.com> Date: Mon, 11 Dec 2023 12:26:29 -0600 Subject: [PATCH] Update tutorial.md --- .../tutorials/clinical-mp-database-generation/tutorial.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/topics/proteomics/tutorials/clinical-mp-database-generation/tutorial.md b/topics/proteomics/tutorials/clinical-mp-database-generation/tutorial.md index 6ef11368a3604e..d677d8b6470893 100644 --- a/topics/proteomics/tutorials/clinical-mp-database-generation/tutorial.md +++ b/topics/proteomics/tutorials/clinical-mp-database-generation/tutorial.md @@ -249,7 +249,7 @@ Once generated, the Species UniProt database (~3.38 million sequences) will be m # Reducing Database size ## Sub-step with **MetaNovo** -Next, the large comprehensive database of ~2.59 million sequences can be reduced using the MetaNovo tool to generate a more manageable database that contains identified proteins. The compact MetaNovo-generated database (~1.9K sequences) will be merged with Human SwissProt (reviewed only) and contaminants (cRAP) databases to generate the reduced database (~21.2k protein sequences) that will be used for peptide identification **(cite Discovery module tutorial)**. +Next, the large comprehensive database of ~2.59 million sequences can be reduced using the MetaNovo tool to generate a more manageable database that contains identified proteins. The compact MetaNovo-generated database (~1.9K sequences) will be merged with Human SwissProt (reviewed only) and contaminants (cRAP) databases to generate the reduced database (~21.2k protein sequences) that will be used for peptide identification (see [Discovery Module tutorial](https://github.com/subinamehta/training-material/blob/main/topics/proteomics/tutorials/clinical-mp-discovery/tutorial.md)). > Metanovo tool generates a compact database from your comprehensive database. >