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.
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::DEVELOPER
Hu Lab – Data Integration and Knowledge Discovery @ UCF
:: SCREENSHOTS
:: REQUIREMENTS
- Linux/ Windows
- Python
- Tkinter
- Java
:: DOWNLOAD
:: 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.