[med-svn] [SCM] r-bioc-limma branch, master, updated. debian/3.12.0_dfsg-1-15-g6f01b54
Andreas Tille
tille at debian.org
Thu May 16 13:41:33 UTC 2013
The following commit has been merged in the master branch:
commit 8d1f43e7fc3b26f181df553b41a5c65a46b5a3d9
Author: Andreas Tille <tille at debian.org>
Date: Thu May 16 15:31:08 2013 +0200
Fake normalisation as it is done by `cme fix dpkg-control`
The command did actually no change - the control file was
brought into shape manually
diff --git a/debian/changelog b/debian/changelog
index dd0d77f..4c96c6b 100644
--- a/debian/changelog
+++ b/debian/changelog
@@ -11,6 +11,9 @@ r-bioc-limma (3.16.3~dfsg-1) UNRELEASED; urgency=low
- Removed DM-Upload-Allowed
- Standards-Version: 3.9.4 (no changes needed)
- Debhelper 9
+ - Fake normalisation as it is done by `cme fix dpkg-control`
+ (the command did actually no change - the control file was
+ brought into shape manually)
-- Andreas Tille <tille at debian.org> Thu, 16 May 2013 15:16:13 +0200
diff --git a/debian/control b/debian/control
index 67a8e32..1173564 100644
--- a/debian/control
+++ b/debian/control
@@ -1,10 +1,12 @@
Source: r-bioc-limma
-Section: gnu-r
-Priority: optional
Maintainer: Debian Med Packaging Team <debian-med-packaging at lists.alioth.debian.org>
Uploaders: Charles Plessy <plessy at debian.org>,
Andreas Tille <tille at debian.org>
-Build-Depends: debhelper (>= 9), cdbs, r-base-dev (>= 2.14.2~20120222)
+Section: gnu-r
+Priority: optional
+Build-Depends: debhelper (>= 9),
+ cdbs,
+ r-base-dev (>= 2.14.2~20120222)
Standards-Version: 3.9.4
Vcs-Browser: http://git.debian.org/?p=debian-med/r-bioc-limma.git
Vcs-Git: git://git.debian.org/git/debian-med/r-bioc-limma.git
@@ -12,7 +14,9 @@ Homepage: http://bioinf.wehi.edu.au/limma/
Package: r-bioc-limma
Architecture: any
-Depends: ${shlibs:Depends}, ${misc:Depends}, ${R:Depends}
+Depends: ${shlibs:Depends},
+ ${misc:Depends},
+ ${R:Depends}
Description: linear models for microarray data
A Bioconductor package for the analysis of gene expression microarray data,
especially the use of linear models for analysing designed experiments and the
@@ -20,3 +24,4 @@ Description: linear models for microarray data
capabilities for two-colour spotted arrays. The differential expression methods
apply to all array platforms and treat Affymetrix, single channel and two
channel experiments in a unified way.
+
--
linear models for microarray data
More information about the debian-med-commit
mailing list