CSAR
This is the development version of CSAR; for the stable release version, see CSAR.
Statistical tools for the analysis of ChIP-seq data
Bioconductor version: Development (3.22)
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 live.com>
citation("CSAR")):
      
    Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("CSAR")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("CSAR")| CSAR Vignette | R Script | |
| Reference Manual | 
Details
| biocViews | ChIPSeq, Genetics, Software, Transcription | 
| Version | 1.61.1 | 
| In Bioconductor since | BioC 2.6 (R-2.11) (15.5 years) | 
| License | Artistic-2.0 | 
| Depends | R (>= 2.15.0), S4Vectors, IRanges, Seqinfo, GenomicRanges | 
| Imports | stats, utils | 
| System Requirements | |
| URL | 
See More
| Suggests | ShortRead, Biostrings | 
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report | 
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | CSAR_1.61.1.tar.gz | 
| Windows Binary (x86_64) | CSAR_1.61.1.zip | 
| macOS Binary (x86_64) | CSAR_1.61.1.tgz | 
| macOS Binary (arm64) | CSAR_1.61.1.tgz | 
| Source Repository | git clone https://git.bioconductor.org/packages/CSAR | 
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/CSAR | 
| Bioc Package Browser | https://code.bioconductor.org/browse/CSAR/ | 
| Package Short Url | https://bioconductor.org/packages/CSAR/ | 
| Package Downloads Report | Download Stats |