Advertisement
  • Loading metrics

Phylogenetic Dependency Networks: Inferring Patterns of CTL Escape and Codon Covariation in HIV-1 Gag

  • Jonathan M. Carlson ,

    carlson@microsoft.com (JMC); heckerma@microsoft.com (DH)

    Affiliations eScience Group, Microsoft Research, Redmond, Washington, United States of America, Department of Computer Science and Engineering, University of Washington, Seattle, Washington, United States of America

  • Zabrina L. Brumme,

    Affiliation Partners AIDS Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America

  • Christine M. Rousseau,

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

  • Chanson J. Brumme,

    Affiliation Partners AIDS Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America

  • Philippa Matthews,

    Affiliation Department of Paediatrics, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom

  • Carl Kadie,

    Affiliation eScience Group, Microsoft Research, Redmond, Washington, United States of America

  • James I. Mullins,

    Affiliations Department of Microbiology, University of Washington, Seattle, Washington, United States of America, Department of Medicine, University of Washington, Seattle, Washington, United States of America

  • Bruce D. Walker,

    Affiliations Partners AIDS Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America, Howard Hughes Medical Institute, Chevy Chase, Maryland, United States of America

  • P. Richard Harrigan,

    Affiliations B.C. Centre for Excellence in HIV/AIDS, Vancouver, British Columbia, Canada, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada

  • Philip J. R. Goulder,

    Affiliations Partners AIDS Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America, Department of Paediatrics, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom, HIV Pathogenesis Programme, The Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban, South Africa

  • David Heckerman

    carlson@microsoft.com (JMC); heckerma@microsoft.com (DH)

    Affiliation eScience Group, Microsoft Research, Redmond, Washington, United States of America

Phylogenetic Dependency Networks: Inferring Patterns of CTL Escape and Codon Covariation in HIV-1 Gag

  • Jonathan M. Carlson, 
  • Zabrina L. Brumme, 
  • Christine M. Rousseau, 
  • Chanson J. Brumme, 
  • Philippa Matthews, 
  • Carl Kadie, 
  • James I. Mullins, 
  • Bruce D. Walker, 
  • P. Richard Harrigan, 
  • Philip J. R. Goulder
PLOS
x

Viewed info

Cited info

Saved info

Discussed info

Questions or concerns about usage data? Please let us know.