Bayesian community-wide culture-independent microbial source tracking View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2011-09

AUTHORS

Dan Knights, 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. More... »

PAGES

761

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nmeth.1650

DOI

http://dx.doi.org/10.1038/nmeth.1650

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1005440831

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/21765408


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