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  • Last update: 5 years ago
  • Total downloads: 50
  • Operating system: Linux, Mac OS X, Win All, BSD, Solaris
  • Publisher: Phillip Seitzer
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scripts default iconMotifCatcher (Scripts) Publisher's description

MotifCatcher is a MATLAB platform that seeks to improve upon purely de-novo

MotifCatcher is a MATLAB platform that seeks to improve upon purely de-novo
motif-finding methods by systematic inclusion/exclusion of input sequences,
in the search for statistically significant related subsequences (motifs).

MotifCatcher works best when the user enters a large number of input sequences,
of which the user expects some will contain a significant motif and some will
not. An example data set might be upstream sequences of expressed genes
determined by microarray gene expression experiment, where
correlated expression of genes might not occur by the same promoter complex,
and so a motif may or may not appear in a given input sequence.

MotifCatcher applies an iterative search algorithm, within a Monte Carlo
framework, with use of repeated calls to the MEME/MAST programs (please see
'Installation' in the README file), and organizes resultant plausible subsets of the whole
input data set, with the correlated motif associated with each data set,
into a distance tree with help from the STAMP platform (please see
'Installation' in the README file).

MotifCatcher also has additional comparative analyses available, and an
easy-to-use GUI interface, which allows the user to conveniently visualize
the data.

This is a beta pre-release, updates and full release to follow.

More information is available in the 'README' file.

System Requirements:

MATLAB 7.10 (2010a)
Program Release Status: New Release
Program Install Support: Install and Uninstall

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