CNV detection from exome sequencing read depth

Bioconductor version: 2.10

Detection of copy number variants (CNV) from exome sequencing samples, including unpaired samples. The package implements a hidden Markov model which 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
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biocViews CopyNumberVariants, Genetics, HighThroughputSequencing, Sequencing, Software
Depends IRanges, GenomicRanges, Rsamtools
Imports stats4, methods
Suggests Biostrings
System Requirements
License GPL (>= 2)
Depends On Me
Imports Me
Suggests Me
Version 1.2.0
Since Bioconductor 2.9 (R-2.14)

Package Downloads

Package Source exomeCopy_1.2.0.tar.gz
Windows Binary exomeCopy_1.2.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary exomeCopy_1.2.0.tgz
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