May 012012
 

OMiMa

:: DESCRIPTION

The OMiMa (the Optimized Mixture Markov model) System is a computational tool for identifying functional motifs in DNA or protein sequences. OMiMa System is based on the Optimized Mixture of Markov models that are able to incorporate most dependencies within a motif. Most important, OMiMa is capable to adjust model complexity according to motif dependency structures, so it can minimize model complexity without compromising prediction accuracy. OMiMa uses our fast Markov chain optimization method, the Directed Neighbor-Joining (DNJ), which makes OMiMa more computationally efficent.

::DEVELOPER

Weichun Huang at Biostatistics Branch, the National Institute of Environmental Health Sciences (NIEHS), NIH

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 OMiMa

:: MORE INFORMATION

Citation

Weichun Huang, David M Umbach, Uwe Ohler, Leping Li.
Optimized mixed Markov models for motif identification.
BMC Bioinformatics 2006, 7:279

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