\name{X}
\docType{data}
\alias{X}
\title{A simulated data set for CNV detection from NGS data.}
\description{This data set gives the read counts of 40 samples in 5000 genomic
locations. The rows correspond to genomic segments of 25kbp length and the
columns to samples. An entry is the number of reads that map to the specific
segment of the sample. The rownames contain the information of the genomic 
location - they are in the format refseqname_startposition_endposition.
The simulated data contains CNVs given in the \code{\link{CNVRanges}}
object. It was generated using
distributions of read counts as they appear in real sequencing experiments. 
CNVs were implanted under the assumption that the expected read count is linear
dependent on the copy number (e.g. in a certain genomic we expect 
\deqn{\lambda}{lambda} reads for copy number 2, then we expect 
\deqn{2\cdot \lambda}{2*lambda} reads for copy number 4).
}
\usage{X}
\format{A data matrix of 5000 rows and 40 columns.}
\source{http://www.bioinf.jku.at/software/cnmops/cnmops.html.}
\references{
Klambauer et al., cn.mops, \emph{Unpublished method.}, 2011
      }
\keyword{datasets}