Hidden Markov models (HMMs) are statistical models of the primary structure consensus of a sequence family. Bayesian probability theory is applied to guide how all the probability (scoring) parameters should be set.
Version 2.3.2 is at /usr/local/hmmer/hmmer-2.3.2
Version 1.8 is at /usr/local/hmmer/hmmer-1.8
/usr/local/hmmerlatest is linked to Version 2.3.2
/usr/local/hmmerlatest is in the systemwide path
Installation: Source code and license aquired from http://hmmer.janelia.org
gcc compiler with multithread enabled. HMMER_NCPU set to 2 in /etc/profile.d/hmmer.sh
hmmalign [-options] <hmm file> <sequence file>
hmmbuild, hmmcalibrate, hmmconvert, hmmmit, hmmfetch, hmmindex, hmmpfam, hmmsearch