[med-svn] [malt] 01/01: Add description
Andreas Tille
tille at debian.org
Tue Oct 11 18:37:33 UTC 2016
This is an automated email from the git hooks/post-receive script.
tille pushed a commit to branch master
in repository malt.
commit 7de6fa8ecfdced6a669d430dbf38b6519ddd1f8b
Author: Andreas Tille <tille at debian.org>
Date: Tue Oct 11 20:37:24 2016 +0200
Add description
---
debian/control | 24 ++++++++++++++++++++----
1 file changed, 20 insertions(+), 4 deletions(-)
diff --git a/debian/control b/debian/control
index 564009a..b1e66e6 100644
--- a/debian/control
+++ b/debian/control
@@ -1,8 +1,8 @@
Source: malt
-Section: science
-Priority: optional
Maintainer: Debian Med Packaging Team <debian-med-packaging at lists.alioth.debian.org>
Uploaders: Andreas Tille <tille at debian.org>
+Section: science
+Priority: optional
Build-Depends: debhelper (>= 9)
Standards-Version: 3.9.8
Vcs-Browser: https://anonscm.debian.org/cgit/debian-med/malt.git
@@ -11,6 +11,22 @@ Homepage: https://github.com/danielhuson/malt
Package: malt
Architecture: any
-Depends: ${shlibs:Depends}, ${misc:Depends}
+Depends: ${shlibs:Depends},
+ ${misc:Depends}
Description: MEGAN alignment tool
- MALT - MEGAN alignment tool
+ MALT, an acronym for MEGAN alignment tool, is a sequence alignment and
+ analysis tool designed for processing high-throughput sequencing data,
+ especially in the context of metagenomics. It is an extension of MEGAN6,
+ the MEGenome Analyzer and is designed to provide the input for MEGAN6,
+ but can also be used independently of MEGAN6.
+ .
+ The core of the program is a sequence alignment engine that aligns DNA
+ or protein sequences to a DNA or protein reference database in either
+ BLASTN (DNA queries and DNA references), BLASTX (DNA queries and protein
+ references) or BLASTP (protein queries and protein references) mode. The
+ engine uses a banded-alignment algorithm with ane gap scores and BLOSUM
+ substitution matrices (in the case of protein alignments). The program
+ can compute both local alignments (Smith-Waterman) or semi-global
+ alignments (in which reads are aligned end-to-end into reference
+ sequences), the latter being more appropriate for aligning metagenomic
+ reads to references.
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