• DocumentCode
    2764568
  • Title

    Computational analysis of HIV-1 evolution and epidemiology

  • Author

    Pond, Sergei L Kosakovsky

  • Author_Institution
    Dept. of Med., Univ. of California San Diego, San Diego, CA, USA
  • fYear
    2011
  • fDate
    12-15 Nov. 2011
  • Firstpage
    60
  • Lastpage
    63
  • Abstract
    I survey several illuminating applications of diverse next generation sequencing, phylogenetic, machine learning, and network analysis approaches to the study of HIV-1 at the level of a single individual, populations of infected individuals, and the a geographic epidemic.
  • Keywords
    diseases; genetics; genomics; learning (artificial intelligence); medical computing; microorganisms; network analysis; surveying; HIV-1 evolution; computational analysis; epidemiology; genomic recombination; illuminating applications; machine learning; network analysis; phylogenetic analysis; sequencing; survey; Drugs; Human immunodeficiency virus; Immune system; Resistance; Strain; Vaccines; Viruses (medical);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine Workshops (BIBMW), 2011 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    978-1-4577-1612-6
  • Type

    conf

  • DOI
    10.1109/BIBMW.2011.6112355
  • Filename
    6112355