DocumentCode :
3496284
Title :
Probing of viral diversity by global haplotype prediction
Author :
Topfer, Armin ; Di Giallonardo, Francesca ; Metzner, Karin J. ; Gunthard, Huldrych F. ; Beerenwinkel, Niko
Author_Institution :
Dept. of Biosyst. Sci. & Eng., ETH Zurich, Basel, Switzerland
fYear :
2013
fDate :
12-14 June 2013
Firstpage :
1
Lastpage :
1
Abstract :
The focus in clinical virology shifts from well-established identification of single nucleotide variants (SNV) to probing of individual viral RNA strains, called haplotypes. The success of antiretroviral treatment of HIV infection heavily depends on the knowledge of an intra-patient´s viral population heterogeneity, because diversity and in particular, low frequency variants affect virulence, immune escape, and drug resistance.
Keywords :
DNA; diseases; drugs; genetics; microorganisms; molecular biophysics; molecular configurations; patient treatment; HIV infection; antiretroviral treatment; clinical virology shifts; drug resistance; global haplotype prediction; immune escape; individual viral RNA strains; intrapatient viral population heterogeneity; low-frequency variants; single nucleotide variant identification; viral diversity probing; virulence; Bioinformatics; Computational modeling; Educational institutions; Electronic mail; Hidden Markov models; Human immunodeficiency virus; Sequential analysis; HMM; Haplotype reconstruction; next-generation sequencing; viral quasispecies;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Advances in Bio and Medical Sciences (ICCABS), 2013 IEEE 3rd International Conference on
Conference_Location :
New Orleans, LA
Type :
conf
DOI :
10.1109/ICCABS.2013.6629231
Filename :
6629231
Link To Document :
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