To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("CSAR")
In most cases, you don't need to download the package archive at all.
This package is for version 3.2 of Bioconductor; for the stable, up-to-date release version, see CSAR.
Bioconductor version: 3.2
Statistical tools for ChIP-seq data analysis. The package includes the statistical method described in Kaufmann et al. (2009) PLoS Biology: 7(4):e1000090. Briefly, Taking the average DNA fragment size subjected to sequencing into account, the software calculates genomic single-nucleotide read-enrichment values. After normalization, sample and control are compared using a test based on the Poisson distribution. Test statistic thresholds to control the false discovery rate are obtained through random permutation.
Author: Jose M Muino
Maintainer: Jose M Muino <jose.muino at wur.nl>
Citation (from within R,
enter citation("CSAR")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("CSAR")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("CSAR")
CSAR Vignette | ||
Reference Manual |
biocViews | ChIPSeq, Genetics, Software, Transcription |
Version | 1.22.0 |
In Bioconductor since | BioC 2.6 (R-2.11) (6 years) |
License | Artistic-2.0 |
Depends | R (>= 2.15.0), S4Vectors, IRanges, GenomeInfoDb, GenomicRanges |
Imports | stats, utils |
LinkingTo | |
Suggests | ShortRead, Biostrings |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | NarrowPeaks |
Suggests Me | NarrowPeaks |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | CSAR_1.22.0.tar.gz |
Windows Binary | CSAR_1.22.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | CSAR_1.22.0.tgz |
Mac OS X 10.9 (Mavericks) | CSAR_1.22.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/CSAR/tree/release-3.2 |
Package Short Url | http://bioconductor.org/packages/CSAR/ |
Package Downloads Report | Download Stats |
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