MetaLab: an automated pipeline for metaproteomic data analysis.

ABSTRACT:

Background

Research involving microbial ecosystems has drawn increasing attention in recent years. Studying microbe-microbe, host-microbe, and environment-microbe interactions are essential for the understanding of microbial ecosystems. Currently, metaproteomics provide qualitative and quantitative information of proteins, providing insights into the functional changes of microbial communities. However, computational analysis of large-scale data generated in metaproteomic studies remains a challenge. Conventional proteomic software have difficulties dealing with the extreme complexity and species diversity present in microbiome samples leading to lower rates of peptide and protein identification. To address this issue, we previously developed the MetaPro-IQ approach for highly effi

SUBMITTER: Cheng K 

PROVIDER: S-EPMC5712144 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature