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Package: EDASeq
Version: 2.6.2
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).
Authors@R: c(person("Davide", "Risso", email = "risso.davide@gmail.com",
role = c("aut", "cre", "cph")),
person("Sandrine", "Dudoit", role = "aut"),
person("Ludwig", "Geistlinger", role = "ctb"))
Author: Davide Risso [aut, cre, cph], Sandrine Dudoit [aut], Ludwig Geistlinger [ctb]
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), biomaRt, Biostrings,
AnnotationDbi, GenomicFeatures, GenomicRanges
Suggests: BiocStyle, knitr, yeastRNASeq, leeBamViews, edgeR, KernSmooth
VignetteBuilder: knitr
License: Artistic-2.0
LazyLoad: yes
biocViews: Sequencing, RNASeq, Preprocessing, QualityControl,
DifferentialExpression
URL: https://github.com/drisso/EDASeq
BugReports: https://github.com/drisso/EDASeq/issues
NeedsCompilation: no
Packaged: 2016-05-16 03:02:34 UTC; biocbuild
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providing 
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