Bioconductor version: Release (2.11)
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")
R Script | EDASeq: Exploratory Data Analysis and Normalization for RNA-Seq data | |
Reference Manual | ||
Text | NEWS |
biocViews | DifferentialExpression, HighThroughputSequencing, Preprocessing, QualityControl, RNAseq, Software |
Version | 1.4.0 |
In Bioconductor since | BioC 2.9 (R-2.14) |
License | Artistic-2.0 |
Depends | BiocGenerics(>= 0.1.3), Biobase(>= 2.15.1), ShortRead(>= 1.11.42), Rsamtools(>= 1.5.75), aroma.light |
Imports | methods, graphics, BiocGenerics, IRanges(>= 1.13.9), DESeq |
Suggests | yeastRNASeq, leeBamViews, edgeR, DESeq |
System Requirements | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | oneChannelGUI |
Package Source | EDASeq_1.4.0.tar.gz |
Windows Binary | EDASeq_1.4.0.zip (32- & 64-bit) |
MacOS 10.5 (Leopard) | EDASeq_1.4.0.tgz |
Package Downloads Report | Download Stats |
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