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MOdel-based one and two Sample Analysis and inference for ChIP-Seq Data MOSAiCS

A statistical protocol for analyzing ChIP-seq data. Based on careful investigation of biases in ChIP-seq data such as mappability and GC content, MOSAiCS has been developed as a flexible mixture modeling approach for detecting peaks of one-sample (ChIP sample) or two-sample (ChIP sample and matched control sample) ChIP-seq data.

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MOSAiCS forum

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MOSAiCS classification

MOSAiCS specifications

Software type:
Package/Module
Restrictions to use:
None
Programming languages:
R
Stability:
Stable
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
Computer skills:
Advanced
Maintained:
Yes

MOSAiCS distribution

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No versioning.

Credits

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Publications

Institution(s)

Department of Statistics, University of Wisconsin, Madison, WI, USA; Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON, Canada; Department of Biostatistics and Biomedical Informatics, University of Wisconsin, Madison, WI, USA

Link to literature

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