SADMAMA 20110410 – Motif Scanning and Detection of Significant Variation

SADMAMA 20110410

:: DESCRIPTION

SADMAMA (Significance Assessment of the Difference in MAtrix MAtches / SM) was originally designed to address the question of whether one set of sequences has more and/or better binding sites of a particular transcription factor than the other. The binding sites are modeled as matches to a, possibly gapped, position weight matrix (PWM) which is presumed to be known.

:: DEVELOPER

Uri Keich

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / MacOsX / Windows
  • C Compiler

:: DOWNLOAD

 SADMAMA

:: MORE INFORMATION

Citation:

Uri Keich et al.
Computational detection of significant variation in binding affinity across two sets of sequences with application to the analysis of replication origins in yeast
BMC Bioinformatics 2008, 9:372 doi:10.1186/1471-2105-9-372