[med-svn] [express] 03/05: s/we have observed/it was observed/ to silence lintian info about third person in description

Andreas Tille tille at debian.org
Tue Feb 17 10:13:05 UTC 2015


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tille pushed a commit to branch master
in repository express.

commit 42383cd4869d0776f5ed637eaea61d93f24f3879
Author: Andreas Tille <tille at debian.org>
Date:   Tue Feb 17 10:07:16 2015 +0100

    s/we have observed/it was observed/ to silence lintian info about third person in description
---
 debian/control | 27 +++++++++++++--------------
 1 file changed, 13 insertions(+), 14 deletions(-)

diff --git a/debian/control b/debian/control
index 6cf04e3..6b5696e 100644
--- a/debian/control
+++ b/debian/control
@@ -39,20 +39,19 @@ Description: Streaming quantification for high-throughput sequencing
  output can be piped directly into eXpress, effectively eliminating the
  need to store read alignments in memory or on disk.
  .
- In an analysis of
- the performance of eXpress for RNA-Seq data, we have observed that this
- efficiency does not come at a cost of accuracy. eXpress is more accurate
- than other available tools, even when limited to smaller datasets that
- do not require such efficiency. Moreover, like the Cufflinks program,
- eXpress can be used to estimate transcript abundances in multi-isoform
- genes. eXpress is also able to resolve multi-mappings of reads across
- gene families, and does not require a reference genome so that it can be
- used in conjunction with de novo assemblers such as Trinity, Oases, or
- Trans-ABySS. The underlying model is based on previously described
- probabilistic models developed for RNA-Seq but is applicable to other
- settings where target sequences are sampled, and includes parameters for
- fragment length distributions, errors in reads, and sequence-specific
- fragment bias.
+ In an analysis of the performance of eXpress for RNA-Seq data, it was
+ observed that this efficiency does not come at a cost of accuracy.
+ eXpress is more accurate than other available tools, even when limited
+ to smaller datasets that do not require such efficiency. Moreover, like
+ the Cufflinks program, eXpress can be used to estimate transcript
+ abundances in multi-isoform genes. eXpress is also able to resolve
+ multi-mappings of reads across gene families, and does not require a
+ reference genome so that it can be used in conjunction with de novo
+ assemblers such as Trinity, Oases, or Trans-ABySS. The underlying model
+ is based on previously described probabilistic models developed for
+ RNA-Seq but is applicable to other settings where target sequences are
+ sampled, and includes parameters for fragment length distributions,
+ errors in reads, and sequence-specific fragment bias.
  .
  eXpress can be used to resolve ambiguous mappings in other
  high-throughput sequencing based applications. The only required inputs

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