EDASeq

Exploratory Data Analysis and Normalization for RNA-Seq

Bioconductor version: 2.9

Numerical and graphical summaries of RNA-Seq read data. Within-lane normalization procedures to adjust for GC-content effect (or other gene-level effects) on read counts: loess robust local regression, global-scaling, and full-quantile normalization (Risso et al., 2011). Between-lane normalization procedures to adjust for distributional differences between lanes (e.g., sequencing depth): global-scaling and full-quantile normalization (Bullard et al., 2010).

Author: Davide Risso and Sandrine Dudoit

Maintainer: Davide Risso <risso.davide at gmail.com>

To install this package, start R and enter:

    source("http://bioconductor.org/biocLite.R")
    biocLite("EDASeq")

To cite this package in a publication, start R and enter:

    citation("EDASeq")

Documentation

PDF R Script EDASeq: Exploratory Data Analysis and Normalization for RNA-Seq data
PDF   Reference Manual
Text   NEWS

Details

biocViews HighThroughputSequencing, RNAseq, Preprocessing, QualityControl, DifferentialExpression
Depends Biobase, ShortRead(>= 1.11.42), Rsamtools(>= 1.5.75), aroma.light
Imports methods, graphics, IRanges, DESeq
Suggests yeastRNASeq, leeBamViews, edgeR, DESeq
System Requirements
License Artistic-2.0
URL
Depends On Me
Imports Me
Suggests Me oneChannelGUI
Version 1.0.0
Since Bioconductor 2.9 (R-2.14)

Package Downloads

Package Source EDASeq_1.0.0.tar.gz
Windows Binary EDASeq_1.0.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary EDASeq_1.0.0.tgz
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