t-coffee 11.00.8cbe486-6 source package in Ubuntu


t-coffee (11.00.8cbe486-6) unstable; urgency=medium

  * Standards-Version: 4.1.0 (no changes needed)
  * Fix some string assignments which fail build with gcc-7
    Closes: #853677
  * d/rules: do not parse d/changelog

 -- Andreas Tille <email address hidden>  Mon, 28 Aug 2017 15:27:17 +0200

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Uploaded by:
Debian Med on 2017-08-28
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Original maintainer:
Debian Med
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Medium Urgency

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Series Pocket Published Component Section
Bionic release on 2017-11-09 universe science


File Size SHA-256 Checksum
t-coffee_11.00.8cbe486-6.dsc 2.1 KiB 74c83c8f7591b6fcb62aa3148db2315600d49bd61f3880f805a5691f3ca31c4e
t-coffee_11.00.8cbe486.orig.tar.gz 3.4 MiB b8018433574ff7705c49cd974bebb06a48eb8bc5e38aaa9eb4f53f2e7778e72c
t-coffee_11.00.8cbe486-6.debian.tar.xz 15.5 KiB 842506d55d33cb9127d2413d89e71fd5de8815e35b2b9466983cca226c74d508

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Binary packages built by this source

t-coffee: Multiple Sequence Alignment

 T-Coffee is a multiple sequence alignment package. Given a set of
 sequences (Proteins or DNA), T-Coffee generates a multiple sequence
 alignment. Version 2.00 and higher can mix sequences and structures.
 T-Coffee allows the combination of a collection of multiple/pairwise,
 global or local alignments into a single model. It can also
 estimate the level of consistency of each position within the new
 alignment with the rest of the alignments. See the pre-print for more
 T-Coffee has a special called M-Coffee that makes it possible to combine the
 output of many multiple sequence alignment packages. In its published version,
 it uses MUSCLE, PROBCONS, POA, DiAlign-TS, MAFFT, Clustal W, PCMA and
 T-Coffee. A special version has been made for Debian, DM-Coffee, that uses
 only free software by replacing Clustal W by Kalign. Using the 8 Methods of
 M-Coffee can sometimes be a bit heavy. You can use a subset of your favorite
 methods if you prefer.

t-coffee-dbgsym: debug symbols for t-coffee
t-coffee-examples: annotated examples for the use of T-Coffee

 To help increasing the proficiency in the use of T-Coffee, this
 package provides examples for input sequences and their proper