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Research Article

Statistical Object Data Analysis of Taxonomic Trees from Human Microbiome Data

  • Patricio S. La Rosa,

    Affiliation: Division of General Medical Sciences, Washington University in St. Louis, St. Louis, Missouri, United States of America

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  • Berkley Shands,

    Affiliation: Division of General Medical Sciences, Washington University in St. Louis, St. Louis, Missouri, United States of America

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  • Elena Deych,

    Affiliation: Division of General Medical Sciences, Washington University in St. Louis, St. Louis, Missouri, United States of America

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  • Yanjiao Zhou,

    Affiliation: The Genome Institute, Washington University in St. Louis Medical School, St. Louis, Missouri, United States of America

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  • Erica Sodergren,

    Affiliation: The Genome Institute, Washington University in St. Louis Medical School, St. Louis, Missouri, United States of America

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  • George Weinstock,

    Affiliation: The Genome Institute, Washington University in St. Louis Medical School, St. Louis, Missouri, United States of America

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  • William D. Shannon mail

    wshannon@wustl.edu

    Affiliation: Division of General Medical Sciences, Washington University in St. Louis, St. Louis, Missouri, United States of America

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  • Published: November 09, 2012
  • DOI: 10.1371/journal.pone.0048996
  • Published in PLOS ONE

About the Authors

Patricio S. La Rosa, Berkley Shands, Elena Deych, William D. Shannon
Division of General Medical Sciences, Washington University in St. Louis, St. Louis, Missouri, United States of America
Yanjiao Zhou, Erica Sodergren, George Weinstock
The Genome Institute, Washington University in St. Louis Medical School, St. Louis, Missouri, United States of America

Corresponding Author

Email: wshannon@wustl.edu

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

Conceived and designed the experiments: GW ES. Performed the experiments: GW ES YZ. Analyzed the data: PSLR BS ED WDS. Contributed reagents/materials/analysis tools: GW ES YZ. Wrote the paper: PSLR WDS. Designed statistical methods: PSLR WDS. Designed Software used in the analysis: PSLR BS ED WDS. Sequence samples: GW ES YZ. Taxonomic-based analysis of sequences: YZ.