hmmer 3.3+dfsg2-1 source package in Ubuntu
Changelog
hmmer (3.3+dfsg2-1) unstable; urgency=medium * Team upload. * Restore config.guess and config.sub so that dh_update_autotools_config can update them. This fixes the FTBFS. * Added python3 build-dep so that the checks run (and the build doesn't fail) * debian/patches/spelling: fix a typo * debian/patches/hardenng: finished CPPFLAGS propogation -- Michael R. Crusoe <email address hidden> Wed, 04 Dec 2019 11:26:08 +0100
Upload details
- Uploaded by:
- Debian Med
- Uploaded to:
- Sid
- Original maintainer:
- Debian Med
- Architectures:
- any-amd64 any-i386 powerpc ppc64 all
- Section:
- science
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Focal | release | universe | science |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
hmmer_3.3+dfsg2-1.dsc | 2.1 KiB | fd9bd390d54d64bdeef8ed097ddabf62c63f08d3537bb8e60ffcff87324fab9b |
hmmer_3.3+dfsg2.orig.tar.xz | 12.1 MiB | feef813fdc75eef2223f573c3043341178ab673130724d1fa694f3fa04d63bcd |
hmmer_3.3+dfsg2-1.debian.tar.xz | 13.1 KiB | 2f4d5956a38f01ce3c3c6883463e6be260a2518d14d5cdd3a2be44c79ef60225 |
Available diffs
- diff from 3.2.1+dfsg-3 to 3.3+dfsg2-1 (7.9 MiB)
- diff from 3.3+dfsg-1 to 3.3+dfsg2-1 (60.0 KiB)
No changes file available.
Binary packages built by this source
- hmmer: profile hidden Markov models for protein sequence analysis
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.
- hmmer-dbgsym: debug symbols for hmmer
- hmmer-doc: profile hidden Markov models for protein sequence analysis (docs)
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.
.
This package contains the documentation and a tutorial for the hmmer package.
- hmmer-examples: profile hidden Markov models for protein sequence analysis (examples)
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.
.
This package contains example files to test the hmmer package.