| Literature DB >> 21765408 |
Dan Knights1, Justin Kuczynski, Emily S Charlson, Jesse Zaneveld, Michael C Mozer, Ronald G Collman, Frederic D Bushman, Rob Knight, Scott T Kelley.
Abstract
Contamination is a critical issue in high-throughput metagenomic studies, yet progress toward a comprehensive solution has been limited. We present SourceTracker, a Bayesian approach to estimate the proportion of contaminants in a given community that come from possible source environments. We applied SourceTracker to microbial surveys from neonatal intensive care units (NICUs), offices and molecular biology laboratories, and provide a database of known contaminants for future testing.Entities:
Mesh:
Year: 2011 PMID: 21765408 PMCID: PMC3791591 DOI: 10.1038/nmeth.1650
Source DB: PubMed Journal: Nat Methods ISSN: 1548-7091 Impact factor: 28.547