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Development of Linux on POWER at the OSU Open Source Lab

Hmmer 2.3.2 IBM JS20 Suse

"Profile hidden Markov models can be used to do sensitive database searching using statistical descriptions of a sequence family's consensus.The advantage of using HMMS is that HMMS have a formal probabilistic basis and can be trained from unaligned sequences, if a trusted alignment isn't yet known. They do however make poor models of RNAs because they cannot describe base pairs. HMMER is a freely distibutable implementation of profile HMM software for protein sequence analysis. (Washington Univ.)"

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hmmer2.3.2.bin_.ibmjs20suselinux.tar.gz7.42 MB