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Research Article

Network-Based Prediction and Analysis of HIV Dependency Factors

  • T. M. Murali mail,

    murali@cs.vt.edu (TMM) (TM); honey@u.washington.edu (MGK) (MK)

    Affiliation: Department of Computer Science, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, United States of America

    X
  • Matthew D. Dyer equal contributor,

    equal contributor Contributed equally to this work with: Matthew D. Dyer, David Badger

    Affiliation: Applied Biosystems, Foster City, California, United States of America

    X
  • David Badger equal contributor,

    equal contributor Contributed equally to this work with: Matthew D. Dyer, David Badger

    Affiliation: Department of Computer Science, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, United States of America

    X
  • Brett M. Tyler ,

    Affiliation: Virginia Bioinformatics Institute, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, United States of America

    These authors also contributed equally to this work.

    X
  • Michael G. Katze mail

    murali@cs.vt.edu (TMM) (TM); honey@u.washington.edu (MGK) (MK)

    Affiliation: Department of Microbiology, University of Washington, Seattle, Washington, United States of America

    These authors also contributed equally to this work.

    X
  • Published: September 22, 2011
  • DOI: 10.1371/journal.pcbi.1002164

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Media Coverage for this Article

Posted by PLoS_CompBiol on 25 Oct 2011 at 15:58 GMT

The following article represents some of the media coverage that has occurred for this paper:

Publication: International Business Times
Title: New Computational Analysis Forecasts New Targets to Control HIV
URL: http://www.ibtimes.com/ar...

If you see any additional coverage of this paper in the press or blogosphere, please reply to this thread and add the link to the article.

No competing interests declared.