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Cited by 1,856

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Bayesian community-wide culture-independent microbial source tracking

Open access
Knights, Dan, Kuczynski, Justin, Charlson, Emily S, Zaneveld, Jesse, Mozer, Michael C, Collman, Ronald G, Bushman, Frederic D, Knight, Rob, Kelley, Scott T·2011·Nature Methods

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.

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Registry

Crossref · 10.1038/nmeth.1650

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Metadata

Authors
Knights, D., Kuczynski, J., Charlson, E. S., Zaneveld, J., Mozer, M. C., Collman, R. G., Bushman, F. D., Knight, R., & Kelley, S. T.
Venue
Nature Methods
Published
2011-07-17
Volume
8
Issue
9
Pages
761-763
ISSN
  • 1548-7091 (ISSN-L)
  • 1548-7105
OpenAlex
W2054407804
Cited by
1,856
References
6
FWCI
7.52
Type
journal article
Language
en
Open access
green

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.