drisso/EDASeq: Exploratory Data Analysis and Normalization for RNA-Seq

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
Version2.15.3
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("drisso/EDASeq")
drisso/EDASeq documentation built on July 28, 2018, 4:35 p.m.