DEME 1.0 – Motif Discovery using Positive & Negative Examples

DEME 1.0

:: DESCRIPTION

DEME (Discriminatively Enhanced Motif Elicitation) is a discriminative motif discovery algorithm for use with protein and DNA sequences. Using a probabilistic framework, DEME discovers motifs that are overrepresented in a set of “positive” sequences relative to a “negative” set.

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::DEVELOPER

ARC Centre of Excellence in Bioinformatics

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/MacOsX
  • C compiler

:: DOWNLOAD

 DEME

:: MORE INFORMATION

Citation

BMC Bioinformatics. 2007 Oct 15;8:385.
Discriminative motif discovery in DNA and protein sequences using the DEME algorithm.
Redhead E, Bailey TL.