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EDASeq

Exploratory Data Analysis and Normalization for RNA-Seq

Bioconductor version: 3.23 · Package version: 2.46.0

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).

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("EDASeq")

Details

MaintainerDavide Risso <risso.davide@gmail.com>
AuthorDavide Risso [aut, cre, cph], Sandrine Dudoit [aut], Ludwig Geistlinger [ctb]
LicenseArtistic-2.0
URLhttps://github.com/drisso/EDASeq
Bug Reportshttps://github.com/drisso/EDASeq/issues
Downloads rank2238
Source branchRELEASE_3_23
biocViewsDifferentialExpression, ImmunoOncology, Preprocessing, QualityControl, RNASeq, Sequencing, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageEDASeq_2.46.0.tar.gz
Windows binary (x86_64)EDASeq_2.46.0.zip
macOS binary (arm64)EDASeq_2.46.0.tgz
macOS binary (x86_64)EDASeq_2.46.0.tgz
Dependencies

Depends: Biobase (>= 2.15.1), ShortRead (>= 1.11.42)

Imports: methods, graphics, BiocGenerics, IRanges (>= 1.13.9), aroma.light, Rsamtools (>= 1.5.75), biomaRt, Biostrings, AnnotationDbi, GenomicFeatures, GenomicRanges, BiocManager

Suggests: BiocStyle, knitr, yeastRNASeq, leeBamViews, edgeR, KernSmooth, testthat, DESeq2, rmarkdown

Reverse dependencies

Depends On Me (1): RUVSeq

Imports Me (4): DaMiRseq, metaseqR2, octad, ribosomeProfilingQC

Suggests Me (7): awst, DEScan2, easyreporting, GRaNIE, HTSFilter, MOSClip, TCGAbiolinks