BANDITS: BANDITS: Bayesian ANalysis of DIfferenTial Splicing

BANDITS is a Bayesian hierarchical model for detecting differential splicing of genes and transcripts, via differential transcript usage (DTU), between two or more conditions. The method uses a Bayesian hierarchical framework, which allows for sample specific proportions in a Dirichlet-Multinomial model, and samples the allocation of fragments to the transcripts. Parameters are inferred via Markov chain Monte Carlo (MCMC) techniques and a DTU test is performed via a multivariate Wald test on the posterior densities for the average relative abundance of transcripts.

Package details

AuthorSimone Tiberi [aut, cre], Mark D. Robinson [aut].
Bioconductor views AlternativeSplicing Bayesian DifferentialExpression DifferentialSplicing GeneExpression Genetics MultipleComparison RNASeq Sequencing Software StatisticalMethod Transcription Visualization
MaintainerSimone Tiberi <>
LicenseGPL (>= 3)
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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BANDITS documentation built on Nov. 8, 2020, 5:30 p.m.