Biosequence analysis using profile hidden Markov models
HMMER is used for searching sequence databases for homologs of protein sequences, and for making protein sequence alignments. It implements methods using probabilistic models called “profile hidden Markov models” (profile HMMs).
Compared to BLAST, FASTA, and other sequence alignment and database search tools based on older scoring methodology, HMMER aims to be significantly more accurate and more able to detect remote homologs because of the strength of its underlying mathematical models. In the past, this strength came at significant computational expense, but in the new HMMER3 project, HMMER is now essentially as fast as BLAST.
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Source Files
Filename | Size | Changed |
---|---|---|
hmmer-3.3.2.tar.gz | 0018213049 17.4 MB | |
hmmer.changes | 0000008618 8.42 KB | |
hmmer.spec | 0000003143 3.07 KB |
Latest Revision
Dmitry Roshchin (Dmitry_R)
accepted
request 1036523
from
Stefan Brüns (StefanBruens)
(revision 6)
- Update to version 3.3.2 * Fixed a recently introduced bug that could cause hmmsearch (and presumably hmmscan) to segfault on rare comparisons involving highly biased sequences. * ./configure –enable-PIC wasn’t setting -fPIC option in impl-sse, impl-vmx Makefiles. * fixed an uninitialized ptr in makehmmerdb, in the fm_data structure, which could cause makehmmerdb to crash.
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