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Multiple Beta t-Tests

Bioconductor version: Release (3.19)

MBttest method was developed from beta t-test method of Baggerly et al(2003). Compared to baySeq (Hard castle and Kelly 2010), DESeq (Anders and Huber 2010) and exact test (Robinson and Smyth 2007, 2008) and the GLM of McCarthy et al(2012), MBttest is of high work efficiency,that is, it has high power, high conservativeness of FDR estimation and high stability. MBttest is suit- able to transcriptomic data, tag data, SAGE data (count data) from small samples or a few replicate libraries. It can be used to identify genes, mRNA isoforms or tags differentially expressed between two conditions.

Author: Yuan-De Tan

Maintainer: Yuan-De Tan <tanyuande at>

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


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

Analysing RNA-Seq count data with the "MBttest" package PDF R Script
MBttest-manual.pdf PDF
Reference Manual PDF


biocViews AlternativeSplicing, Coverage, DifferentialExpression, DifferentialSplicing, GeneExpression, MultipleComparison, SAGE, Sequencing, Software, Transcription
Version 1.32.0
In Bioconductor since BioC 3.3 (R-3.3) (8 years)
License GPL-3
Depends R (>= 3.3.0), stats, gplots, gtools, graphics, base, utils, grDevices
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Follow Installation instructions to use this package in your R session.

Source Package MBttest_1.32.0.tar.gz
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macOS Binary (x86_64) MBttest_1.32.0.tgz
macOS Binary (arm64) MBttest_1.32.0.tgz
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Source Repository (Developer Access) git clone
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