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Bioconductor version: 2.13
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>
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enter citation("exomeCopy")
):
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source("http://bioconductor.org/biocLite.R") biocLite("exomeCopy")
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R Script | Copy number variant detection in exome sequencing data | |
Reference Manual | ||
Text | NEWS |
biocViews | CopyNumberVariants, Genetics, HighThroughputSequencing, Sequencing, Software |
Version | 1.8.1 |
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 | SomaticCancerAlterations |
Suggests Me |
Follow Installation instructions to use this package in your R session.
Package Source | exomeCopy_1.8.1.tar.gz |
Windows Binary | exomeCopy_1.8.1.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | exomeCopy_1.8.1.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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