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
Browse package contents
Package details |
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| Author | Davide Risso [aut, cre, cph], Sandrine Dudoit [aut], Ludwig Geistlinger [ctb] |
| Bioconductor views | DifferentialExpression ImmunoOncology Preprocessing QualityControl RNASeq Sequencing |
| Maintainer | Davide Risso <risso.davide@gmail.com> |
| License | Artistic-2.0 |
| Version | 2.27.1 |
| URL | https://github.com/drisso/EDASeq |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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