[med-svn] [libsmithwaterman] 01/03: Shorter descriptions

Andreas Tille tille at debian.org
Wed Jun 22 14:49:14 UTC 2016


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tille pushed a commit to branch master
in repository libsmithwaterman.

commit 6061623c130e5eedb41ec54c2f3fb6880a52ce1b
Author: Andreas Tille <tille at debian.org>
Date:   Wed Jun 22 16:40:49 2016 +0200

    Shorter descriptions
---
 debian/control | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/debian/control b/debian/control
index 9d53849..ded3bb8 100644
--- a/debian/control
+++ b/debian/control
@@ -16,7 +16,7 @@ Architecture: any
 Section: libs
 Depends: ${shlibs:Depends},
          ${misc:Depends}
-Description: determine similar regions between two strings or nucleotide or protein sequences (lib)
+Description: determine similar regions between two strings or genomic sequences (lib)
  The Smith–Waterman algorithm performs local sequence alignment; that is,
  for determining similar regions between two strings or nucleotide or
  protein sequences. Instead of looking at the total sequence, the
@@ -31,7 +31,7 @@ Section: libdevel
 Depends: libsmithwaterman0 (= ${binary:Version}),
          ${shlibs:Depends},
          ${misc:Depends}
-Description: determine similar regions between two strings or nucleotide or protein sequences (devel)
+Description: determine similar regions between two strings or genomic sequences (devel)
  The Smith–Waterman algorithm performs local sequence alignment; that is,
  for determining similar regions between two strings or nucleotide or
  protein sequences. Instead of looking at the total sequence, the
@@ -45,7 +45,7 @@ Package: smithwaterman
 Architecture: any
 Depends: ${shlibs:Depends},
          ${misc:Depends}
-Description: determine similar regions between two strings or nucleotide or protein sequences
+Description: determine similar regions between two strings or genomic sequences
  The Smith–Waterman algorithm performs local sequence alignment; that is,
  for determining similar regions between two strings or nucleotide or
  protein sequences. Instead of looking at the total sequence, the

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