Find statistically significant patterns in sequences
Smile determines sequence motifs on the basis of a set of DNA, RNA or
* No hard limit on the number of combinations of motifs to describe
subsets of sequences.
* The sequence alphabet may be specified.
* The use of wildcards is supported.
* Better determination of significance of motifs by simulation.
* Introduction of a set of sequences with negative controls
that should not match automatically determined motifs.
smile for Debian
As there is a multimedia package with the same name, I renamed this package
-- Thorsten Alteholz <firstname.lastname@example.org>, Wed, 18 May 2011 18:20:05 +0200
Renamed SMILE to smile in file names.
The upstream author Laurent Marsan is very supportive of this package
and being a Debian user himself he even provided a very nice man page
for the distri
mlv-smile - inference of structured signals in multiple
mlv-smile [-g number]
This manual page documents briefly the mlv-smile command.
For more details and example, you should have a look to the
mlv-smile (1.47-3) unstable; urgency=low
* debian/upstream: Added publication data
- Standards-Version: 3.9.3 (no changes needed)
- Fixed Vcs-Browser
- Moved directory in SVN from smile to mlv-smile
- Removed citation information from long description
- Spacing changes in long description
* debian/copyright: Fixed some DEP5 issues using
SMILE is distributed under a General Public License. You'll find more
details about tha
Browse inside mlv-smile_1.47-3_s390x.deb
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