Sipros Ensemble improves database searching and filtering for complex metaproteomics.

ABSTRACT:

Motivation

Complex microbial communities can be characterized by metagenomics and metaproteomics. However, metagenome assemblies often generate enormous, and yet incomplete, protein databases, which undermines the identification of peptides and proteins in metaproteomics. This challenge calls for increased discrimination of true identifications from false identifications by database searching and filtering algorithms in metaproteomics.

Results

Sipros Ensemble was developed here for metaproteomics using an ensemble approach. Three diverse scoring functions from MyriMatch, Comet and the original Sipros were incorporated within a single database searching engine. Supervised classification with logistic regression was used to filter database searching results. Benchmarking with

SUBMITTER: Guo X 

PROVIDER: S-EPMC6192206 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature