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>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("exomeCopy")
To cite this package in a publication, start R and enter:
citation("exomeCopy")
R Script | CNV detection in exome sequencing data | |
Reference Manual | ||
Text | NEWS |
biocViews | CopyNumberVariants, Genetics, HighThroughputSequencing, Sequencing, Software |
Depends | IRanges, GenomicRanges, Rsamtools |
Imports | stats4, methods |
Suggests | Biostrings |
System Requirements | |
License | GPL (>= 2) |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Version | 1.2.0 |
Since | Bioconductor 2.9 (R-2.14) |
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 |
Package Downloads Report | Download Stats |
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