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This is the development version of eisaR; for the stable release version, see eisaR.

Exon-Intron Split Analysis (EISA) in R

Bioconductor version: Development (3.20)

Exon-intron split analysis (EISA) uses ordinary RNA-seq data to measure changes in mature RNA and pre-mRNA reads across different experimental conditions to quantify transcriptional and post-transcriptional regulation of gene expression. For details see Gaidatzis et al., Nat Biotechnol 2015. doi: 10.1038/nbt.3269. eisaR implements the major steps of EISA in R.

Author: Michael Stadler [aut, cre], Dimos Gaidatzis [aut], Lukas Burger [aut], Charlotte Soneson [aut]

Maintainer: Michael Stadler <michael.stadler at>

Citation (from within R, enter citation("eisaR")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

Generating reference files for spliced and unspliced abundance estimation with alignment-free methods HTML R Script
Using eisaR for Exon-Intron Split Analysis (EISA) HTML R Script
Reference Manual PDF


biocViews FunctionalGenomics, GeneExpression, GeneRegulation, RNASeq, Regression, Software, Transcription, Transcriptomics
Version 1.17.0
In Bioconductor since BioC 3.11 (R-4.0) (4 years)
License GPL-3
Depends R (>= 4.1)
Imports graphics, stats, GenomicRanges, S4Vectors, IRanges, limma, edgeR(>= 4.0), methods, SummarizedExperiment, BiocGenerics, utils
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Suggests knitr, rmarkdown, testthat, BiocStyle, QuasR, Rbowtie, Rhisat2, Biostrings, BSgenome, BSgenome.Hsapiens.UCSC.hg38, ensembldb, AnnotationDbi, GenomicFeatures, txdbmaker, rtracklayer
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Follow Installation instructions to use this package in your R session.

Source Package eisaR_1.17.0.tar.gz
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macOS Binary (x86_64) eisaR_1.17.0.tgz
macOS Binary (arm64) eisaR_1.17.0.tgz
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