hmmer 3.3.2+dfsg-1 source package in Ubuntu

Changelog

hmmer (3.3.2+dfsg-1) unstable; urgency=medium

  * Team upload.
  * debian/watch: fix version matching
  * Standards-Version: 4.5.1 (routine-update)
  * debhelper-compat 13 (routine-update)
  * debian/control: mark the '-doc' package as Multi-Arch: foreign
  * Refresh the patches.
  * Add salsa-ci file (routine-update)
  * Rules-Requires-Root: no (routine-update)
  * debian/upstream/metadata: document their GitHub repo

 -- Michael R. Crusoe <email address hidden>  Thu, 31 Dec 2020 11:50:25 +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 Pocket Published Component Section
Mantic release universe science
Lunar release universe science
Jammy release universe science

Builds

Hirsute: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
hmmer_3.3.2+dfsg-1.dsc 2.1 KiB f094605dab0f31cf53129a704990cfe14c345b88b85160ec21d80ddc2e11e1d8
hmmer_3.3.2+dfsg.orig.tar.xz 11.8 MiB 32913d564890c0eac5a95af9cc0a4284e612138be4754212db316fff1d379803
hmmer_3.3.2+dfsg-1.debian.tar.xz 13.9 KiB 8d750af4414f6603cfa21387ae465057acf6990ded6f94da262cdc737c321d43

Available diffs

No changes file available.

Binary packages built by this source

hmmer: No summary available for hmmer in ubuntu kinetic.

No description available for hmmer in ubuntu kinetic.

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.