Bioconductor version: Release (2.12)
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 <michaelisaiahlove at gmail.com>
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 | Copy number variant detection in exome sequencing data | |
Reference Manual | ||
Text | NEWS |
biocViews | CopyNumberVariants, Genetics, HighThroughputSequencing, Sequencing, Software |
Version | 1.6.0 |
In Bioconductor since | BioC 2.9 (R-2.14) |
License | GPL (>= 2) |
Depends | IRanges, GenomicRanges, Rsamtools |
Imports | stats4, methods |
Suggests | Biostrings |
System Requirements | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me |
Package Source | exomeCopy_1.6.0.tar.gz |
Windows Binary | exomeCopy_1.6.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | exomeCopy_1.6.0.tgz |
Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!