t-coffee 12.00.7fb08c2-4 source package in Ubuntu


t-coffee (12.00.7fb08c2-4) unstable; urgency=medium

  [ Helmut Grohne ]
  * Fix FTCBFS: Pass C++ compiler as CC.
    Closes: #922196

 -- Andreas Tille <email address hidden>  Fri, 15 Feb 2019 07:43:22 +0100

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Uploaded by:
Debian Med on 2019-02-15
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Original maintainer:
Debian Med
any all
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Focal release on 2019-10-18 universe science
Eoan release on 2019-04-18 universe science
Disco release on 2019-02-16 universe science


File Size SHA-256 Checksum
t-coffee_12.00.7fb08c2-4.dsc 2.1 KiB ba66838b309be7a82c863d6c9ce066f88bcc2b2d366c27de7ffb90a2e0ee18f5
t-coffee_12.00.7fb08c2.orig.tar.gz 3.4 MiB 6119514a0e36da4b4de88741b8c12f9c8ab653772b3952a011d4cb373beee44f
t-coffee_12.00.7fb08c2-4.debian.tar.xz 14.5 KiB 6774a081517f7bbe95e16e728b78545b5339b3966c9dde5af9a907dd7869fcb5

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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