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Research Article

Bacterial Diversity in Two Neonatal Intensive Care Units (NICUs)

  • Krissi M. Hewitt,

    Affiliation: Department of Biology, San Diego State University, San Diego, California, United States of America

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  • Frank L. Mannino,

    Affiliation: University of San Diego Medical Center, San Diego, California, United States of America

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  • Antonio Gonzalez,

    Affiliation: Department of Computer Science, University of Colorado at Boulder, Boulder, Colorado, United States of America

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  • John H. Chase,

    Affiliation: Department of Biological Sciences, Northern Arizona University, Flagstaff, Arizona, United States of America

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  • J. Gregory Caporaso,

    Affiliations: Department of Biological Sciences, Northern Arizona University, Flagstaff, Arizona, United States of America, Department of Computer Science, Northern Arizona University, Flagstaff, Arizona, United States of America, Institute for Genomics and Systems Biology, Argonne National Laboratory, Argonne, Illinois, United States of America

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  • Rob Knight,

    Affiliations: Department of Chemistry and Biochemistry, University of Colorado at Boulder, Boulder, Colorado, United States of America, Howard Hughes Medical Institute, Boulder, Colorado, United States of America

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  • Scott T. Kelley mail

    skelley@sciences.sdsu.edu

    Affiliation: Department of Biology, San Diego State University, San Diego, California, United States of America

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  • Published: January 23, 2013
  • DOI: 10.1371/journal.pone.0054703

About the Authors

Krissi M. Hewitt, Scott T. Kelley
Department of Biology, San Diego State University, San Diego, California, United States of America
Frank L. Mannino
University of San Diego Medical Center, San Diego, California, United States of America
Antonio Gonzalez
Department of Computer Science, University of Colorado at Boulder, Boulder, Colorado, United States of America
John H. Chase, J. Gregory Caporaso
Department of Biological Sciences, Northern Arizona University, Flagstaff, Arizona, United States of America
J. Gregory Caporaso
Department of Computer Science, Northern Arizona University, Flagstaff, Arizona, United States of America
J. Gregory Caporaso
Institute for Genomics and Systems Biology, Argonne National Laboratory, Argonne, Illinois, United States of America
Rob Knight
Department of Chemistry and Biochemistry, University of Colorado at Boulder, Boulder, Colorado, United States of America
Rob Knight
Howard Hughes Medical Institute, Boulder, Colorado, United States of America

Corresponding Author

Email: skelley@sciences.sdsu.edu

Competing Interests

A few of the samples the authors collected in this study were used as sequence test datasets for the published SourceTracker software. The data were used to test the viability, accuracy and reproducibility of the SourceTracker method and were not discussed any further in that paper. This does not alter the authors' adherence to all the PLOS ONE policies on sharing data and materials.

Author Contributions

Designed software used in analysis: JGC RK STK. Conceived and designed the experiments: STK FLM KMH. Performed the experiments: KMH. Analyzed the data: STK JGC RK KMH AG JHC. Contributed reagents/materials/analysis tools: JGC RK FLM AG JHC. Wrote the paper: KMH STK JGC.