To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("easyRNASeq")
In most cases, you don't need to download the package archive at all.
This package is for version 3.0 of Bioconductor; for the stable, up-to-date release version, see easyRNASeq.
Bioconductor version: 3.0
Calculates the coverage of high-throughput short-reads against a genome of reference and summarizes it per feature of interest (e.g. exon, gene, transcript). The data can be normalized as 'RPKM' or by the 'DESeq' or 'edgeR' package.
Author: Nicolas Delhomme, Ismael Padioleau, Bastian Schiffthaler
Maintainer: Nicolas Delhomme <delhomme at embl.de>
Citation (from within R,
enter citation("easyRNASeq")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("easyRNASeq")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("easyRNASeq")
R Script | easyRNASeq | |
Reference Manual | ||
Text | NEWS |
biocViews | GeneExpression, Genetics, Preprocessing, RNASeq, Software |
Version | 2.2.1 |
In Bioconductor since | BioC 2.10 (R-2.15) (4 years) |
License | Artistic-2.0 |
Depends | |
Imports | Biobase(>= 2.26.0), BiocGenerics(>= 0.12.1), biomaRt(>= 2.22.0), Biostrings(>= 2.34.1), DESeq(>= 1.18.0), edgeR(>= 3.8.5), genomeIntervals(>= 1.22.0), GenomicAlignments(>= 1.2.1), GenomeInfoDb(>= 1.2.4), GenomicRanges(>= 1.18.4), graphics, IRanges(>= 2.0.1), LSD (>= 3.0), methods, parallel, Rsamtools(>= 1.18.2), S4Vectors(>= 0.4.0), ShortRead(>= 1.24.0), utils |
LinkingTo | |
Suggests | BiocStyle(>= 1.4.1), BSgenome(>= 1.34.1), BSgenome.Dmelanogaster.UCSC.dm3(>= 1.4.0), GenomicFeatures(>= 1.18.3), RnaSeqTutorial(>= 0.3.1), RUnit (>= 0.4.28) |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | RnaSeqTutorial |
Imports Me | |
Suggests Me | SeqGSEA |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | easyRNASeq_2.2.1.tar.gz |
Windows Binary | easyRNASeq_2.2.1.zip |
Mac OS X 10.6 (Snow Leopard) | easyRNASeq_2.2.1.tgz |
Mac OS X 10.9 (Mavericks) | easyRNASeq_2.2.1.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/easyRNASeq/tree/release-3.0 |
Package Short Url | http://bioconductor.org/packages/easyRNASeq/ |
Package Downloads Report | Download Stats |
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