<?xml version="1.0"?>
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 <rdf:Description>
  <dc:title>Genome wide analysis of RNA Polymerase II-based ChIP Seq data</dc:title>
  <dc:description>Polyphemus is able to combine signal intensity (count)
profiles, with significant peak annotations in order to
identify coding regions of interest for the comparative
analysis or two or more samples. The algorithm (i) identifies
significant coding regions, (ii) performs normalization, (iii)
compares several profiles and (iv) provides matrix output
suitable for further clustering analysis.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.14.0)</dc:relation>
  <dc:relation>Imports: IRanges, zoo, RUnit, parallel, R.utils, limma</dc:relation>
  <dc:creator>Martial Sankar &lt;martial.sankar@unil.ch&gt;</dc:creator>
  <dc:contributor>Martial Sankar, supervised by Marco Mendoza and Hinrich
Gronenmeyer</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2011-11-22</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>http://CRAN.R-project.org/package=polyphemus</dc:identifier>
 </rdf:Description>
</rdf:RDF>

