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 Pocket Published Component Section
Focal release universe science

Builds

Focal: [FULLYBUILT] amd64

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

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.