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| author |   rob van nues <rvnues at tesco {dot} net> | 2017-11-19 14:14:36 +0000 |
|---|---|---|
| committer |   Willy Sudiarto Raharjo <willysr@slackbuilds.org> | 2017-11-20 17:59:07 +0700 |
| commit | da57b65b953bd2bf92819f7d7d43d5d8d575da51 (patch) | |
| tree | 1ae51454c773d51f9fe020c066d18bdf771302b4 /academic/pyCRAC/README | |
| parent | cca112722f4964bf3869432768c8c96765478e23 (diff) | |
| download | slackbuilds-da57b65b953bd2bf92819f7d7d43d5d8d575da51.tar.gz slackbuilds-da57b65b953bd2bf92819f7d7d43d5d8d575da51.tar.xz | |
academic/pyCRAC: Updated for version 1.2.4.0.
Signed-off-by: David Spencer <idlemoor@slackbuilds.org>
Diffstat (limited to 'academic/pyCRAC/README')
| -rw-r--r-- | academic/pyCRAC/README | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/academic/pyCRAC/README b/academic/pyCRAC/README index dd847d0935..a5be782d73 100644 --- a/academic/pyCRAC/README +++ b/academic/pyCRAC/README @@ -1,8 +1,8 @@ The pyCRAC package is a collection of python2-scripts to analyse high -throughput data generated by RNA-sequencing, especially of molecules -crosslinked by UV to an immunoprecipitated protein of interest (i.e. -data generated by CLIP or CRAC protocols). -It can be used to remove duplicate reads,tackles directional libraries +throughput data generated by RNA-sequencing, especially of molecules +crosslinked by UV to an immunoprecipitated protein of interest (i.e. +data generated by CLIP or CRAC protocols). +It can be used to remove duplicate reads,tackles directional libraries and reports sense and anti-sense hits. Included is the pipeline used for the analysis of a group of CRAC data |