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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 forum

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MICSA classification

MICSA specifications

Software type:
Application/Script, Package/Module
Restrictions to use:
None
Computer skills:
Advanced
Source code URL:
http://bioinfo-out.curie.fr/projects/micsa/src/MICSAjavaSrc.zip
Interface:
Command line interface, Graphical user interface
Operating system:
Unix/Linux
Stability:
Stable
Maintained:
Yes

MICSA distribution

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MICSA support

Maintainer

  • Emmanuel Barillot <>

Additional information

http://bioinfo-out.curie.fr/projects/micsa/tutorial.html

Credits

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Publications

Institution(s)

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

By using OMICtools you acknowledge that you have read and accepted the terms of the end user license agreement.