easyRNASeq
This is the development version of easyRNASeq; for the stable release version, see easyRNASeq.
Count summarization and normalization for RNA-Seq data
Bioconductor version: Development (3.20)
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("easyRNASeq")):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("easyRNASeq")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
| Reference Manual |
Details
| biocViews | GeneExpression, Genetics, ImmunoOncology, Preprocessing, RNASeq, Software |
| Version | 2.41.0 |
| In Bioconductor since | BioC 2.10 (R-2.15) (12 years) |
| License | Artistic-2.0 |
| Depends | |
| Imports | Biobase(>= 2.50.0), BiocFileCache(>= 1.14.0), BiocGenerics(>= 0.36.0), BiocParallel(>= 1.24.1), biomaRt(>= 2.46.0), Biostrings(>= 2.58.0), edgeR(>= 3.32.0), GenomeInfoDb(>= 1.26.0), genomeIntervals(>= 1.46.0), GenomicAlignments(>= 1.26.0), GenomicRanges(>= 1.42.0), SummarizedExperiment(>= 1.20.0), graphics, IRanges(>= 2.24.0), LSD (>= 4.1-0), locfit, methods, parallel, rappdirs (>= 0.3.1), Rsamtools(>= 2.6.0), S4Vectors(>= 0.28.0), ShortRead(>= 1.48.0), utils |
| System Requirements | |
| URL |
See More
| Suggests | BiocStyle(>= 2.18.0), BSgenome(>= 1.58.0), BSgenome.Dmelanogaster.UCSC.dm3 (>= 1.4.0), curl, knitr, rmarkdown, RUnit (>= 0.4.32) |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | msgbsR |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | |
| Windows Binary | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| Source Repository | git clone https://git.bioconductor.org/packages/easyRNASeq |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/easyRNASeq |
| Package Short Url | https://bioconductor.org/packages/easyRNASeq/ |
| Package Downloads Report | Download Stats |