[Blends-commit] r3356 - /projects/med/trunk/debian-med/tasks/bio

[tille at users.alioth.debian.org]

Author: tille
Date: Thu May 24 12:43:39 2012
New Revision: 3356

URL: http://svn.debian.org/wsvn/blends/?sc=1&rev=3356
Log:
Removed now redundant information

Modified:
    projects/med/trunk/debian-med/tasks/bio

Modified: projects/med/trunk/debian-med/tasks/bio
URL: http://svn.debian.org/wsvn/blends/projects/med/trunk/debian-med/tasks/bio?rev=3356&op=diff
==============================================================================
--- projects/med/trunk/debian-med/tasks/bio (original)
+++ projects/med/trunk/debian-med/tasks/bio Thu May 24 12:43:39 2012
@@ -352,6 +352,8 @@
 
 Depends: patristic
 Language: Java
+
+Depends: proalign
 
 X-Mark: The information below needs to be checked whether it can be obtained from Vcs or needs to stay here
 
@@ -540,26 +542,6 @@
  and/or profiles from PROSITE against one or several protein sequences
  in Swiss-Prot or FASTA format. It requires two compiled external
  programs from the PFTOOLS, which are also distributed with the sources.
-
-Depends: proalign
-Homepage: http://evol-linux1.ulb.ac.be/ueg/ProAlign/
-License: GPL
-Responsible: Charles Plessy <plessy at debian.org>
-WNPP: 378290
-Pkg-Description: Probabilistic multiple alignment program
- ProAlign performs probabilistic sequence alignments using hidden Markov
- models (HMM). It includes a graphical interface (GUI) allowing to (i)
- perform alignments of nucleotide or amino-acid sequences, (ii) view the
- quality of solutions, (iii) filter the unreliable alignment regions and
- (iv) export alignments to other softwares.
- .
- ProAlign uses a progressive method, such that multiple alignment is
- created stepwise by performing pairwise alignments in the nodes of a
- guide tree. Sequences are described with vectors of character
- probabilities, and each pairwise alignment reconstructs the ancestral
- (parent) sequence by computing the probabilities of different
- characters according to an evolutionary model. It has been published in
- Bioinformatics. 2003 Aug 12;19(12):1505-13.
 
 Depends: ssaha
 Homepage: http://www.sanger.ac.uk/Software/analysis/SSAHA/