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.
::DEVELOPER
the Department of Bioinformatics of the University of Göttingen and the Los Alamos HIV Sequence Database Group.
:: SCREENSHOTS
N/A
:: REQUIREMENTS
- Linux
:: DOWNLOAD
:: 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