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Research Article

Enabling Genomic-Phenomic Association Discovery without Sacrificing Anonymity

  • Raymond D. Heatherly mail,

    r.heatherly@vanderbilt.edu

    Affiliation: Department of Biomedical Informatics, School of Medicine, Vanderbilt University, Nashville, Tennessee, United States of America

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  • Grigorios Loukides,

    Affiliation: School of Computer Science and Informatics, Cardiff University, Cardiff, Wales, United Kingdom

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  • Joshua C. Denny,

    Affiliation: Department of Biomedical Informatics/Department of Medicine, School of Medicine, Vanderbilt University, Nashville, Tennessee, United States of America

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  • Jonathan L. Haines,

    Affiliation: Department of Molecular Physiology and Biophysics/Center for Human Genetics Research, School of Medicine, Vanderbilt University, Nashville, Tennessee, United States of America

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  • Dan M. Roden,

    Affiliation: Department of Medicine/Department of Pharmacology, School of Medicine, Vanderbilt University, Nashville, Tennessee, United States of America

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  • Bradley A. Malin

    Affiliation: Department of Biomedical Informatics, School of Medicine/Department of Electrical Engineering and Computer Science, School of Engineering, Vanderbilt University, Nashville, Tennessee, United States of America

    X
  • Published: February 06, 2013
  • DOI: 10.1371/journal.pone.0053875

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Correction: Enabling Genomic-Phenomic Association Discovery without Sacrificing Anonymity

Raymond D. Heatherly, Grigorios Loukides, Joshua C. Denny, Jonathan L. Haines, Dan M. Roden, Bradley A. Malin
Correction | published 18 Jun 2013 | PLOS ONE
doi:10.1371/annotation/db45627a-50ec-4c52-8b5f-95dec75b1c80