To install this package, start R and enter:
## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("skewr")
In most cases, you don't need to download the package archive at all.
skewr
Visualize Intensities Produced by Illumina's Human Methylation 450k BeadChip
Bioconductor version: 3.1
The skewr package is a tool for visualizing the output of the Illumina Human Methylation 450k BeadChip to aid in quality control. It creates a panel of nine plots. Six of the plots represent the density of either the methylated intensity or the unmethylated intensity given by one of three subsets of the 485,577 total probes. These subsets include Type I-red, Type I-green, and Type II.The remaining three distributions give the density of the Beta-values for these same three subsets. Each of the nine plots optionally displays the distributions of the "rs" SNP probes and the probes associated with imprinted genes as series of 'tick' marks located above the x-axis.
Author: Ryan Putney [cre, aut], Steven Eschrich [aut], Anders Berglund [aut]
Maintainer: Ryan Putney <ryanputney at gmail.com>
Citation (from within R,
enter citation("skewr")):
Installation
To install this package, start R and enter:
## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("skewr")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("skewr")
| R Script | An Introduction to the skewr Package | |
| Reference Manual |
Details
| biocViews | DNAMethylation, Preprocessing, QualityControl, Software, TwoChannel |
| Version | 1.0.0 |
| In Bioconductor since | BioC 3.1 (R-3.2) (< 6 months) |
| License | GPL-2 |
| Depends | R (>= 3.1.1), methylumi, wateRmelon, mixsmsn, IlluminaHumanMethylation450kmanifest |
| Imports | minfi, IRanges, RColorBrewer |
| LinkingTo | |
| Suggests | GEOquery, knitr, minfiData |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | skewr_1.0.0.tar.gz |
| Windows Binary | skewr_1.0.0.zip |
| Mac OS X 10.6 (Snow Leopard) | skewr_1.0.0.tgz |
| Mac OS X 10.9 (Mavericks) | skewr_1.0.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/skewr/tree/release-3.1 |
| Package Short Url | http://bioconductor.org/packages/skewr/ |
| Package Downloads Report | Download Stats |
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