Sipros Ensemble improves database searching and filtering for complex metaproteomics
Abstract
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.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Sep 22, 2017
- Source ID
- 10.1093/bioinformatics/btx601
Entities
People
- Chongle Pan
- David Tabb
- Jimmy K Eng
- Li Zhou
- Qiuming Yao
- Ryan S Mueller
- William Judson Hervey Iv
- Xuan Guo
Organizations
- Engineer Research and Development Center
- Oak Ridge National Laboratory
- Oregon State University
- Stellenbosch University
- United States Naval Research Laboratory
- University of North Texas
- University of Tennessee
- University of Washington