Dec 172015
 

jpHMM 201503

:: DESCRIPTION

jpHMM (jumping profile Hidden Markov Model) is a probabilistic approach to compare a sequence to a multiple alignment of a sequence family. The jpHMM web server at GOBICS is a tool for the detection of genomic recombinations in HIV-1 and HBV.

jpHMM Online Version

::DEVELOPER

the Department of Bioinformatics of the University of Göttingen and the Los Alamos HIV Sequence Database Group.

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

jpHMM

:: MORE INFORMATION

Citation

A.-K. Schultz, M. Zhang, T. Leitner, C. Kuiken, B. Korber, B. Morgenstern, M. Stanke.
A Jumping Profile Hidden Markov Model and Applications to Recombination Sites in HIV and HCV Genomes.
BMC Bioinformatics 7:265. 2006

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