A comprehensive and scalable database search system for metaproteomics.

ABSTRACT:

Background

Mass spectrometry-based shotgun proteomics experiments rely on accurate matching of experimental spectra against a database of protein sequences. Existing computational analysis methods are limited in the size of their sequence databases, which severely restricts the proteomic sequencing depth and functional analysis of highly complex samples. The growing amount of public high-throughput sequencing data will only exacerbate this problem. We designed a broadly applicable metaproteomic analysis method (ComPIL) that addresses protein database size limitations.

Results

Our approach to overcome this significant limitation in metaproteomics was to design a scalable set of sequence databases assembled for optimal library querying speeds. ComPIL was integrated with a modi

SUBMITTER: Chatterjee S 

PROVIDER: S-EPMC4986259 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature