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Research Article

PhylOTU: A High-Throughput Procedure Quantifies Microbial Community Diversity and Resolves Novel Taxa from Metagenomic Data

  • Thomas J. Sharpton mail,

    thomas.sharpton@gladstone.ucsf.edu

    Affiliation: The J. David Gladstone Institutes, University of California San Francisco, San Francisco, California, United States of America

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  • Samantha J. Riesenfeld,

    Affiliation: The J. David Gladstone Institutes, University of California San Francisco, San Francisco, California, United States of America

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  • Steven W. Kembel,

    Affiliation: Center for Ecology and Evolutionary Biology, University of Oregon, Eugene, Oregon, United States of America

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  • Joshua Ladau,

    Affiliation: The J. David Gladstone Institutes, University of California San Francisco, San Francisco, California, United States of America

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  • James P. O'Dwyer,

    Affiliations: Center for Ecology and Evolutionary Biology, University of Oregon, Eugene, Oregon, United States of America, Institute of Integrative and Comparative Biology, University of Leeds, Leeds, United Kingdom

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  • Jessica L. Green,

    Affiliation: Center for Ecology and Evolutionary Biology, University of Oregon, Eugene, Oregon, United States of America

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  • Jonathan A. Eisen,

    Affiliation: Department of Evolution and Ecology, University of California Davis, Davis, California, United States of America

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  • Katherine S. Pollard

    Affiliations: The J. David Gladstone Institutes, University of California San Francisco, San Francisco, California, United States of America, Institute for Human Genetics & Division of Biostatistics, University of California San Francisco, San Francisco, California, United States of America

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  • Published: January 20, 2011
  • DOI: 10.1371/journal.pcbi.1001061

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