To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("ChIPQC")

In most cases, you don't need to download the package archive at all.

ChIPQC

This package is for version 3.2 of Bioconductor; for the stable, up-to-date release version, see ChIPQC.

Quality metrics for ChIPseq data

Bioconductor version: 3.2

Quality metrics for ChIPseq data

Author: Tom Carroll, Wei Liu, Ines de Santiago, Rory Stark

Maintainer: Tom Carroll <tc.infomatics at gmail.com>, Rory Stark <rory.stark at cruk.cam.ac.uk>

Citation (from within R, enter citation("ChIPQC")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("ChIPQC")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("ChIPQC")
PDF R Script Assessing ChIP-seq sample quality with ChIPQC
PDF ChIPQCSampleReport.pdf
PDF Reference Manual
Text NEWS

Details

Version 1.6.1
In Bioconductor since BioC 2.14 (R-3.1) (2 years)
License GPL (>= 3)
Depends R (>= 3.0.0), ggplot2, DiffBind, GenomicRanges(>= 1.17.19)
Imports BiocGenerics(>= 0.11.3), S4Vectors(>= 0.1.0), IRanges(>= 1.99.17), Rsamtools(>= 1.17.28), GenomicAlignments(>= 1.1.16), chipseq(>= 1.12.0), gtools, BiocParallel, methods, reshape2, Nozzle.R1, Biobase, grDevices, stats, utils
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Package Archives

Follow Installation instructions to use this package in your R session.

Package Source ChIPQC_1.6.1.tar.gz
Windows Binary ChIPQC_1.6.1.zip
Mac OS X 10.6 (Snow Leopard) ChIPQC_1.6.1.tgz
Package Downloads Report Download Stats

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