Jumping Profile Hidden Markov Model (jpHMM) takes a HIV-1 or HBV genome sequence and uses a pre-calculated multiple alignment of the major HIV-1 or HBV subtypes to predict the phylogenetic breakpoints and HIV/HBV subtype of the submitted sequence.
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|jpHMM: improving the reliability of recombination prediction in HIV-1||2009||22|
|jpHMM at GOBICS: a web server to detect genomic recombinations in HIV-1||2006||23|
|A novel approach to remote homology detection: jumping alignments||2002||36|