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.
Bioconductor version: Release (3.5)
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, Niklas Maehler
Maintainer: Nicolas Delhomme <nicolas.delhomme at umu.se>
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 | |
HTML | R Script | geneNetworkR |
Reference Manual | ||
Text | NEWS |
biocViews | GeneExpression, Genetics, Preprocessing, RNASeq, Software |
Version | 2.12.1 |
In Bioconductor since | BioC 2.10 (R-2.15) (5.5 years) |
License | Artistic-2.0 |
Depends | |
Imports | Biobase(>= 2.31.3), BiocGenerics(>= 0.17.2), BiocParallel(>= 1.5.1), biomaRt(>= 2.27.2), Biostrings(>= 2.39.3), DESeq(>= 1.23.0), edgeR(>= 3.13.4), GenomeInfoDb(>= 1.7.3), genomeIntervals(>= 1.27.0), GenomicAlignments(>= 1.7.3), GenomicRanges(>= 1.23.16), SummarizedExperiment(>= 1.1.11), graphics, IRanges(>= 2.5.27), LSD (>= 3.0), locfit, methods, parallel, Rsamtools(>= 1.23.1), S4Vectors(>= 0.9.38), ShortRead(>= 1.29.1), utils |
LinkingTo | |
Suggests | BiocStyle(>= 1.9.2), BSgenome(>= 1.39.0), BSgenome.Dmelanogaster.UCSC.dm3(>= 1.4.0), curl, GenomicFeatures(>= 1.23.15), knitr, rmarkdown, RnaSeqTutorial(>= 0.9.0), RUnit (>= 0.4.31) |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | RnaSeqTutorial |
Imports Me | msgbsR |
Suggests Me | SeqGSEA |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | easyRNASeq_2.12.1.tar.gz |
Windows Binary | easyRNASeq_2.12.1.zip |
Mac OS X 10.11 (El Capitan) | easyRNASeq_2.12.1.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/easyRNASeq |
Package Short Url | http://bioconductor.org/packages/easyRNASeq/ |
Package Downloads Report | Download Stats |
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