Mar 302016
 

SIOMICS 3.0

:: DESCRIPTION

SIOMICS is a software developed to de novo identify motifs in large sequence datasets such as those from ChIP-seq experiments. The output of the software is the ranked motifs and motif modules (significantly co-occurring motif combinations). The statistical evaluation of the predicted motifs and motif modules is also provided.

::DEVELOPER

Hu Lab – Data Integration and Knowledge Discovery @ UCF

:: SCREENSHOTS

SIOMICS

:: REQUIREMENTS

  • Linux/ Windows
  • Python
  • Tkinter
  • Java

:: DOWNLOAD

 SIOMICS

:: MORE INFORMATION

Citation:

Nucleic Acids Res. 2014 Mar;42(5):e35. doi: 10.1093/nar/gkt1288. Epub 2013 Dec 9.
SIOMICS: a novel approach for systematic identification of motifs in ChIP-seq data.
Ding J, Hu H, Li X.

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