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
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);
Conference_Titel :
Bioinformatics and Biomedicine Workshops (BIBMW), 2011 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4577-1612-6
DOI :
10.1109/BIBMW.2011.6112355
