[med-svn] r19851 - trunk/packages/sumatra/trunk/debian

[Andreas Tille]

Author: tille
Date: 2015-08-05 19:42:06 +0000 (Wed, 05 Aug 2015)
New Revision: 19851

Modified:
   trunk/packages/sumatra/trunk/debian/control
Log:
sumaclust is not part of the sumatra tarball any more


Modified: trunk/packages/sumatra/trunk/debian/control
===================================================================
--- trunk/packages/sumatra/trunk/debian/control	2015-08-05 19:21:10 UTC (rev 19850)
+++ trunk/packages/sumatra/trunk/debian/control	2015-08-05 19:42:06 UTC (rev 19851)
@@ -15,17 +15,14 @@
 Depends: ${shlibs:Depends},
          ${misc:Depends}
 Description: fast and exact comparison and clustering of sequences
- With the development of next-generation sequencing, efficient tools are needed
- to handle millions of sequences in reasonable amounts of time.
- .
- SUMACLUST and SUMATRA are a package of two programs developed by the  LECA.
- .
- SUMACLUST and SUMATRA aim to compare sequences in a way that is fast and exact
- at the same time. These tools have been developed to be adapted to the type of
- data generated by DNA metabarcoding, i.e. entirely sequenced, short markers.
- .
- SUMATRA computes the pairwise alignment scores from one dataset or between two
- datasets, with the possibility to specify a similarity threshold under which
- pairs of sequences that have a lower similarity are not reported. The output
- can then go through a classification process with programs such as  MCL or
- MOTHUR.
+ With the development of next-generation sequencing, efficient tools are
+ needed to handle millions of sequences in reasonable amounts of time.
+ Sumatra is a program developed by the LECA. Sumatra aims to compare
+ sequences in a way that is fast and exact at the same time. This tool
+ has been developed to be adapted to the type of data generated by DNA
+ metabarcoding, i.e. entirely sequenced, short markers. Sumatra computes
+ the pairwise alignment scores from one dataset or between two datasets,
+ with the possibility to specify a similarity threshold under which pairs
+ of sequences that have a lower similarity are not reported. The output
+ can then go through a classification process with programs such as MCL
+ or MOTHUR.