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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "BANDITS" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'BANDITS: BANDITS: Bayesian ANalysis of DIfferenTial Splicing'
version: 1.21.0
doi: 10.1186/s13059-020-01967-8
abstract: 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.
authors:
- family-names: Tiberi
  given-names: Simone
  email: simone.tiberi@uzh.ch
- family-names: Tiberi.
  given-names: Simone
preferred-citation:
  type: article
  title: 'BANDITS: Bayesian differential splicing accounting for sample-to-sample
    variability and mapping uncertainty'
  authors:
  - family-names: Tiberi
    given-names: Simone
    email: simone.tiberi@uzh.ch
  - family-names: Robinson
    given-names: Mark D.
  journal: Genome Biology
  volume: '21'
  issue: '69'
  year: '2020'
  doi: 10.1186/s13059-020-01967-8
  url: https://genomebiology.biomedcentral.com/articles/10.1186/s13059-020-01967-8
  publisher:
    name: Springer
repository: https://bioc.r-universe.dev
repository-code: https://github.com/SimoneTiberi/BANDITS
url: https://github.com/SimoneTiberi/BANDITS
contact:
- family-names: Tiberi
  given-names: Simone
  email: simone.tiberi@uzh.ch