Bioconductor-mirror/EDASeq: Exploratory Data Analysis and Normalization for RNA-Seq
Version 2.11.0

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).

Getting started

Package details

AuthorDavide Risso [aut, cre, cph], Sandrine Dudoit [aut], Ludwig Geistlinger [ctb]
Bioconductor views DifferentialExpression Preprocessing QualityControl RNASeq Sequencing
MaintainerDavide Risso <[email protected]>
LicenseArtistic-2.0
Version2.11.0
URL https://github.com/drisso/EDASeq
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("Bioconductor-mirror/EDASeq")
Bioconductor-mirror/EDASeq documentation built on May 29, 2017, 3:25 a.m.