hmmer 3.3+dfsg2-ok1 (amd64 binary) in openkylin yangtze
HMMER is an implementation of profile hidden Markov model methods for
sensitive searches of biological sequence databases using multiple sequence
alignments as queries.
.
Given a multiple sequence alignment as input, HMMER builds a statistical
model called a "hidden Markov model" which can then be used as a query into
a sequence database to find (and/or align) additional homologues of the
sequence family.
Details
- Package version:
- 3.3+dfsg2-ok1
- Status:
- Deleted
- Component:
- main
- Priority:
- Optional
Downloadable files
amd64 build of hmmer 3.3+dfsg2-ok1 in openkylin yangtze PROPOSED produced
these files:
- hmmer_3.3+dfsg2-ok1_amd64.deb (1.2 MiB)
Package relationships
- Depends on:
- Suggests:
