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Global Test for Counts

Bioconductor version: Release (3.18)

The method may be conceptualised as a test of overall significance in regression analysis, where the response variable is overdispersed and the number of explanatory variables exceeds the sample size. Useful for testing for association between RNA-Seq and high-dimensional data.

Author: Armin Rauschenberger [aut, cre]

Maintainer: Armin Rauschenberger <armin.rauschenberger at>

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


To install this package, start R (version "4.3") and enter:

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


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:

article frame HTML
vignette frame HTML
vignette source PDF R Script
Reference Manual PDF


biocViews DifferentialExpression, DimensionReduction, ExomeSeq, ExonArray, GeneExpression, GenomeWideAssociation, MultipleComparison, RNASeq, Regression, Sequencing, Software, Transcriptomics, WholeGenome, miRNA
Version 1.30.0
In Bioconductor since BioC 3.3 (R-3.3) (8 years)
License GPL-3
Depends R (>= 3.0.0)
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Suggests knitr, testthat, SummarizedExperiment, S4Vectors
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Follow Installation instructions to use this package in your R session.

Source Package globalSeq_1.30.0.tar.gz
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macOS Binary (x86_64) globalSeq_1.30.0.tgz
macOS Binary (arm64) globalSeq_1.30.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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