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easyRNASeq : Count summarization and normalization for RNA-Seq data

Package: easyRNASeq
Version: 2.8.2
Date: 2015-03-10
Type: Package
Title: Count summarization and normalization for RNA-Seq data
Author: Nicolas Delhomme, Ismael Padioleau, Bastian Schiffthaler, Niklas Maehler
Maintainer: Nicolas Delhomme <nicolas.delhomme@umu.se>
Description: 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.
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
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)
License: Artistic-2.0
LazyLoad: yes
VignetteBuilder: knitr
biocViews: GeneExpression, RNASeq, Genetics, Preprocessing
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-05-16 03:14:09 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: GeneExpression, Genetics, Preprocessing, RNASeq
● 0 images, 42 functions, 0 datasets
Reverse Depends: 1