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Updated: Aug 7, 2026

Prediction of HIV-1 Coreceptor Usage (Tropism) by Sequence Analysis using a Genotypic Approach
Published on: December 1, 2011
jpHMM at GOBICS: a web server to detect genomic recombinations in HIV-1
Ming Zhang1, Anne-Kathrin Schultz, Charles Calef
1Institut für Mikrobiologie und Genetik, Abteilung Bioinformatik, Goldschmidtstrasse 1, 37077 Göttingen, Germany.
Abstract:
Detecting recombinations in the genome sequence of human immunodeficiency virus (HIV-1) is crucial for epidemiological studies and for vaccine development. Herein, we present a web server for subtyping and localization of phylogenetic breakpoints in HIV-1. Our software is based on a jumping profile Hidden Markov Model (jpHMM), a probabilistic generalization of the jumping-alignment approach proposed by Spang et al. The input data for our server is a partial or complete genome sequence from HIV-1; our tool assigns regions of the input sequence to known subtypes of HIV-1 and predicts phylogenetic breakpoints. jpHMM is available online at http://jphmm.gobics.de/.
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