Package: EDASeq
Version: 1.4.0
Title: Exploratory Data Analysis and Normalization for RNA-Seq
Description: 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@gmail.com>
Date: 08-30-2011
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
License: Artistic-2.0
LazyLoad: yes
biocViews: HighThroughputSequencing, RNAseq, Preprocessing,
        QualityControl, DifferentialExpression
Packaged: 2012-10-02 07:27:49 UTC; biocbuild
Built: R 2.15.1; ; 2012-10-02 12:51:41 UTC; windows
