Package: EDASeq
Version: 2.2.0
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: Biobase (>= 2.15.1), ShortRead (>= 1.11.42)
Imports: methods, graphics, BiocGenerics, IRanges (>= 1.13.9), DESeq,
        aroma.light, Rsamtools (>= 1.5.75)
Suggests: BiocStyle, knitr, yeastRNASeq, leeBamViews, edgeR, KernSmooth
VignetteBuilder: knitr
License: Artistic-2.0
LazyLoad: yes
biocViews: Sequencing, RNASeq, Preprocessing, QualityControl,
        DifferentialExpression
NeedsCompilation: no
Packaged: 2015-04-17 03:49:43 UTC; biocbuild
Built: R 3.2.0; ; 2015-04-17 08:27:10 UTC; windows
