Detection of CNV in exome/targeted sequencing data

Bioconductor version: 2.9

A hidden Markov model for the detection of copy number variants (CNV) in exome/targeted sequencing read depth data. The package uses positional covariates, such as background read depth and GC-content, to simultaneously normalize and segment the samples into regions of constant copy count.

Author: Michael Love

Maintainer: Michael Love <love at molgen.mpg.de>

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PDF R Script CNV detection in exome sequencing data
PDF   Reference Manual


biocViews CopyNumberVariants, Sequencing, HighThroughputSequencing, Genetics
Depends methods, graphics, IRanges, GenomicRanges, Rsamtools(>= 1.4.3)
Suggests Biostrings
System Requirements
License GPL (>= 2)
Depends On Me
Imports Me
Suggests Me
Version 1.0.3
Since Bioconductor 2.9 (R-2.14)

Package Downloads

Package Source exomeCopy_1.0.3.tar.gz
Windows Binary exomeCopy_1.0.3.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary exomeCopy_1.0.3.tgz
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