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Motif Identification for ChIP-Seq Analysis MICSA

Provides peak identification in ChIP-Seq data. MICSA uses an approach combining knowledge about DNA fragment coverage in ChIP and control experiments along with motif discovery. This application is able to automatically identify overrepresented motifs in a single run, as well as to use motif occurrence probabilities to enhance the result set returned. It can also be used on medium quality datasets with low average DNA fragment coverage.

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MICSA classification

MICSA specifications

Software type:
Application/Script, Package/Module
Restrictions to use:
Computer skills:
Source code URL:
Command line interface, Graphical user interface
Operating system:

MICSA distribution


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MICSA support


  • Emmanuel Barillot <>

Additional information


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Institut Curie, Paris, France; INSERM, U830, Genetics and Biology of Cancer, Paris, France; INSERM, U900, Bioinformatics, Biostatistics, Epidemiology and Computational Systems Biology of Cancer, Paris, France; Mines ParisTech, Fontainebleau, France; Genome Sciences Centre, BC Cancer Agency, Vancouver, BC, Canada

Funding source(s)

Supported by Curie Institute, the «Ligue Nationale contre le Cancer», The CIT program Carte d’Identite des Tumeurs; Institut National de la Sante´ et de la Recherche Medicale and the Agence Nationale de la Recherche (SITCON project).

Link to literature

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