[med-svn] [kmc] 12/15: improve description

[Sascha Steinbiss]

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sascha-guest pushed a commit to branch master
in repository kmc.

commit ae0f15395e196add53cc19cf4c0875f2b188643b
Author: Sascha Steinbiss <sascha at steinbiss.name>
Date:   Mon Aug 24 21:16:15 2015 +0000

    improve description
---
 debian/control | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/debian/control b/debian/control
index dd363ed..a69bb97 100644
--- a/debian/control
+++ b/debian/control
@@ -21,13 +21,13 @@ Depends: ${shlibs:Depends},
          ${misc:Depends}
 Description: count kmers in genomic sequences
  The kmc software is designed for counting k-mers (sequences of
- consecutive k symbols) in a set of reads K-mer counting is
- important for many bioinformatics applications, e.g.,
- developing de Bruijn graph assemblers.
+ consecutive k symbols) in a set of reads. K-mer counting is
+ important for many bioinformatics applications, e.g. developing de Bruijn
+ graph assemblers.
  Building de Bruijn graphs is a commonly used approach for genome
- assembly with data from second-generation sequencer.
+ assembly with data from second-generation sequencing.
  Unfortunately, sequencing errors (frequent in practice)
- results in huge memory requirements for de Bruijn graphs, as well
+ result in huge memory requirements for de Bruijn graphs, as well
  as long build time. One of the popular approaches to handle this
  problem is filtering the input reads in such a way that unique k-mers
  (very likely obtained as a result of an error) are discarded.
@@ -36,7 +36,7 @@ Description: count kmers in genomic sequences
  of all non-unique reads accompanied with number of their occurrences.
  The algorithm implemented in KMC makes use mostly of disk space rather
  than RAM, which allows one to use KMC even on rather typical personal
- computers. When run at high-end server (what is necessary for KMC
+ computers. When run on high-end servers (what is necessary for KMC
  competitors) it outperforms them in both memory requirements and
  speed of computation. The disk space necessary for computation is in
  order of the size of input data (usually it is smaller).
\ No newline at end of file

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