To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("exomePeak")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 3.1
The package is developed for the analysis of affinity-based epitranscriptome shortgun sequencing data from MeRIP-seq (maA-seq). It was built on the basis of the exomePeak MATLAB package (Meng, Jia, et al. "Exome-based analysis for RNA epigenome sequencing data." Bioinformatics 29.12 (2013): 1565-1567.) with new functions for differential analysis of two experimental conditions to unveil the dynamics in post-transcriptional regulation of the RNA methylome. The exomePeak R-package accepts and statistically supports multiple biological replicates, internally removes PCR artifacts and multi-mapping reads, outputs exome-based binding sites (RNA methylation sites) and detects differential post-transcriptional RNA modification sites between two experimental conditions in term of percentage rather the absolute amount. The package is still under active development, and we welcome all biology and computation scientist for all kinds of collaborations and communications. Please feel free to contact Dr. Jia Meng
Author: Jia Meng <jia.meng at xjtlu.edu.cn>
Maintainer: Jia Meng <jia.meng at xjtlu.edu.cn>
Citation (from within R,
enter citation("exomePeak")
):
To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("exomePeak")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("exomePeak")
R Script | An introduction to exomePeak | |
Reference Manual | ||
Text | NEWS |
biocViews | HighThroughputSequencing, Methylseq, RNAseq, Sequencing, Software |
Version | 1.8.0 |
In Bioconductor since | BioC 2.13 (R-3.0) (2 years) |
License | GPL-2 |
Depends | Rsamtools, GenomicFeatures(>= 1.14.5), rtracklayer |
Imports | |
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Depends On Me | |
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Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | exomePeak_1.8.0.tar.gz |
Windows Binary | exomePeak_1.8.0.zip |
Mac OS X 10.6 (Snow Leopard) | exomePeak_1.8.0.tgz |
Mac OS X 10.9 (Mavericks) | exomePeak_1.8.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/exomePeak/tree/release-3.1 |
Package Short Url | http://bioconductor.org/packages/exomePeak/ |
Package Downloads Report | Download Stats |
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