SPMM: estimating infection duration of multivariant HIV-1 infections | Zendy

Tanzy Love | Zendy; Sung Yong Park | Zendy; Elena E. Giorgi | Zendy; Wendy J. Mack | Zendy; Alan S. Perelson | Zendy; Ha Youn Lee | Zendy

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SPMM: estimating infection duration of multivariant HIV-1 infections

Author(s) -

Tanzy Love,

Sung Yong Park,

Elena E. Giorgi,

Wendy J. Mack,

Alan S. Perelson,

Ha Youn Lee

Publication year - 2015

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/btv749

Subject(s) - human immunodeficiency virus (hiv) , duration (music) , multivariate analysis , multivariate statistics , medicine , computer science , statistics , virology , mathematics , physics , acoustics

Illustrating how HIV-1 is transmitted and how it evolves in the following weeks is an important step for developing effective vaccination and prevention strategies. It is currently possible through DNA sequencing to account for the diverse array of viral strains within an infected individual. This provides an unprecedented opportunity to pinpoint when each patient was infected and which viruses were transmitted.

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