A Graph-Centric Approach for Metagenome-Guided Peptide and Protein Identification in Metaproteomics.

ABSTRACT: Metaproteomic studies adopt the common bottom-up proteomics approach to investigate the protein composition and the dynamics of protein expression in microbial communities. When matched metagenomic and/or metatranscriptomic data of the microbial communities are available, metaproteomic data analyses often employ a metagenome-guided approach, in which complete or fragmental protein-coding genes are first directly predicted from metagenomic (and/or metatranscriptomic) sequences or from their assemblies, and the resulting protein sequences are then used as the reference database for peptide/protein identification from MS/MS spectra. This approach is often limited because protein coding genes predicted from metagenomes are incomplete and fragmental. In this paper, we present a graph-centric ap

SUBMITTER: Tang H 

PROVIDER: S-EPMC5137872 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature