jpHMM: improving the reliability of recombination prediction in HIV-1.

Abstract:

:Previously, we developed jumping profile hidden Markov model (jpHMM), a new method to detect recombinations in HIV-1 genomes. The jpHMM predicts recombination breakpoints in a query sequence and assigns to each position of the sequence one of the major HIV-1 subtypes. Since incorrect subtype assignment or recombination prediction may lead to wrong conclusions in epidemiological or vaccine research, information about the reliability of the predicted parental subtypes and breakpoint positions is valuable. For this reason, we extended the output of jpHMM to include such information in terms of 'uncertainty' regions in the recombination prediction and an interval estimate of the breakpoint. Both types of information are computed based on the posterior probabilities of the subtypes at each query sequence position. Our results show that this extension strongly improves the reliability of the jpHMM recombination prediction. The jpHMM is available online at http://jphmm.gobics.de/.

journal_name

Nucleic Acids Res

journal_title

Nucleic acids research

authors

Schultz AK,Zhang M,Bulla I,Leitner T,Korber B,Morgenstern B,Stanke M

doi

10.1093/nar/gkp371

subject

Has Abstract

pub_date

2009-07-01 00:00:00

pages

W647-51

issue

Web Server issue

eissn

0305-1048

issn

1362-4962

pii

gkp371

journal_volume

37

pub_type

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