MICSA - Motif Identication for Chip-Seq Analysis | Tool name | MICSA - Motif Identication for Chip-Seq Analysis |
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| URL | http://bioinfo-out.curie.fr/projects/micsa/ |
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| Important features | 1. MICSA is a motif identification for chip seq analysis tool which identifies functional binding sites of transcription factors of a consensus motif.
2. It can find the motifs from de novo TFBS and functional binding sites using information on motif occurrence in peaks with coverage depth.
3. It can allow users to significantly reduce the false positive predictions for TFBSs in chip seq analysis. |
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| Citations | Boeva V, Surdez D, Guillon N, Tirode F, Fejes AP, Delattre O, Barillot E. De
novo motif identification improves the accuracy of predicting transcription
factor binding sites in ChIP-Seq data analysis. Nucleic Acids Res. 2010
Jun;38(11):e126. Epub 2010 Apr 7. PubMed PMID: 20375099; PubMed Central PMCID:
PMC2887977.
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| Year of publication | 2010 |
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| Rank by usage frequency | 100 |
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| Comments | |
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| Function | ChIP seq analysis |
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| Category | Free, Downloadable |
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| License | |
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| Status | |
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| Input file format | |
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| Output file format | Text file |
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| Operating system | Linux64, Linux32 and Windows |
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| Operating language | Java |
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| Maintained by | Bioinformatics Laboratory of Institut Curie (Paris) |
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| Downloadable file format | |
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