Bioconductor version: Release (2.11)
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 | Copy number variant detection in exome sequencing data | |
| Reference Manual | ||
| Text | NEWS |
| biocViews | CopyNumberVariants, Genetics, HighThroughputSequencing, Sequencing, Software |
| Version | 1.4.4 |
| 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_1.4.4.tar.gz |
| Windows Binary | exomeCopy_1.4.4.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) | exomeCopy_1.4.4.tgz |
| Package Downloads Report | Download Stats |
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