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| author | Petar Petrov <slackalaxy@gmail.com> | 2017-04-16 22:13:59 +0100 |
|---|---|---|
| committer | Willy Sudiarto Raharjo <willysr@slackbuilds.org> | 2017-04-22 08:10:39 +0700 |
| commit | ef36be56b86ba3d5d4f4689eb3cd89fed0eac3a1 (patch) | |
| tree | 8b88f1510f6358dfa784ff49eccdce87899fca7f /academic/snpEff/README | |
| parent | 6f7181339b11bb86c492292c523576fd06c719ec (diff) | |
academic/snpEff: Updated for version 4.3k.
Signed-off-by: David Spencer <idlemoor@slackbuilds.org>
Diffstat (limited to 'academic/snpEff/README')
| -rw-r--r-- | academic/snpEff/README | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/academic/snpEff/README b/academic/snpEff/README index a32c83dfba114..979686a271d6c 100644 --- a/academic/snpEff/README +++ b/academic/snpEff/README @@ -14,11 +14,11 @@ acid changes). This also installs SnpSift, a toolbox that allows you to filter and manipulate annotated files. Once your genomic variants have been -annotated, you need to filter them out in order to find the +annotated, you need to filter them out in order to find the "interesting / relevant variants". Given the large data files, this is not a trivial task (e.g. you cannot load all the variants into XLS spreadsheet). SnpSift helps to perform this VCF file manipulation and -filtering required at this stage in data processing pipelines. +filtering required at this stage in data processing pipelines. If you are using SnpEff or SnpSift, please cite: A program for annotating and predicting the effects of single |