A statistical model for HIV-1 sequence classification using the subtype analyser (STAR) | Zendy

Richard Myers | Zendy; Catherine V. Gale | Zendy; Alistair Harrison | Zendy; Yasuhiro Takeuchi | Zendy; Paul Kellam | Zendy

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A statistical model for HIV-1 sequence classification using the subtype analyser (STAR)

Author(s) -

Richard Myers,

Catherine V. Gale,

Alistair Harrison,

Yasuhiro Takeuchi,

Paul Kellam

Publication year - 2005

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bti569

Subject(s) - human immunodeficiency virus (hiv) , reverse transcriptase , analyser , protease , virology , computational biology , star (game theory) , biology , sequence (biology) , drug resistance , medicine , genetics , polymerase chain reaction , physics , chemistry , astrophysics , enzyme , gene , chromatography , biochemistry

HIV-1 antiretroviral drug resistance testing produces large amounts of HIV-1 protease and reverse transcriptase sequences. These provide an excellent resource to study the incidence, spread and clinical significance of HIV-1 subtypes. We have produced a program, Subtype Analyser (STAR) that rapidly and accurately subtypes HIV-1. Here we have determined a robust and statistically validated model for subtype assignment.

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