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Oxford University Press (OUP), Bioinformatics, 7(25), p. 954-955

DOI: 10.1093/bioinformatics/btp075

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CoCAS: a ChIP-on-chip analysis suite.

Journal article published in 2009 by Touati Benoukraf, Pierre Cauchy, Romain Fenouil, Adrien Jeanniard, Frederic Koch, Sébastien Jaeger, Denis Thieffry, Jean Imbert, Jean-Christophe Andrau, Salvatore Spicuglia, Pierre Ferrier
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Motivation: High-density tiling microarrays are increasingly used in combination with ChIP assays to study transcriptional regulation. To ease the analysis of the large amounts of data generated by this approach, we have developed ChIP-on-chip Analysis Suite (CoCAS), a standalone software suite which implements optimized ChIP-on-chip data normalization, improved peak detection, as well as quality control reports. Our software allows dye swap, replicate correlation and connects easily with genome browsers and other peak detection algorithms. CoCAS can readily be used on the latest generation of Agilent high-density arrays. Also, the implemented peak detection methods are suitable for other datasets, including ChIP-Seq output.