mlv-smile 1.47-3 source package in Ubuntu

Changelog

mlv-smile (1.47-3) unstable; urgency=low


  * debian/upstream: Added publication data
  * debian/control:
     - Standards-Version: 3.9.3 (no changes needed)
     - Fixed Vcs-Browser
     - Moved directory in SVN from smile to mlv-smile
     - Removed citation information from long description
     - Spacing changes in long description
  * debian/copyright: Fixed some DEP5 issues using
      cme fix dpkg-copyright
  * debhelper 9 (control+compat) to enable hardening
  * debian/rules: Work around several broken Makefiles that would
    need fixing by simply redefining CC to enable propagation of
    hardening flags

 -- Andreas Tille <email address hidden>  Thu, 03 May 2012 18:30:20 +0200

Upload details

Uploaded by:
Debian Med
Uploaded to:
Sid
Original maintainer:
Debian Med
Architectures:
any
Section:
science
Urgency:
Low Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Trusty release universe science

Downloads

File Size SHA-256 Checksum
mlv-smile_1.47-3.dsc 1.4 KiB 5f114eec8b723d1b47beab46b767a4e5cba08072b38a241d68640081b6e5d386
mlv-smile_1.47.orig.tar.gz 228.7 KiB 5924b49ca138c1ec086fde04a78d52081b93d27e1ba3dd855bbdc49646fe2a75
mlv-smile_1.47-3.debian.tar.gz 5.8 KiB 03175a8827ebb1e84c0c344d389008b137dea0d86790a6e216611de5b1c82062

Available diffs

No changes file available.

Binary packages built by this source

mlv-smile: Find statistically significant patterns in sequences

 Smile determines sequence motifs on the basis of a set of DNA, RNA or
 protein sequences.
  * No hard limit on the number of combinations of motifs to describe
    subsets of sequences.
  * The sequence alphabet may be specified.
  * The use of wildcards is supported.
  * Better determination of significance of motifs by simulation.
  * Introduction of a set of sequences with negative controls
    that should not match automatically determined motifs.

mlv-smile-dbgsym: debug symbols for package mlv-smile

 Smile determines sequence motifs on the basis of a set of DNA, RNA or
 protein sequences.
  * No hard limit on the number of combinations of motifs to describe
    subsets of sequences.
  * The sequence alphabet may be specified.
  * The use of wildcards is supported.
  * Better determination of significance of motifs by simulation.
  * Introduction of a set of sequences with negative controls
    that should not match automatically determined motifs.