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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 "satuRn" in publications use:'
type: software
license: Artistic-2.0
title: 'satuRn: Scalable Analysis of Differential Transcript Usage for Bulk and Single-Cell
  RNA-sequencing Applications'
version: 1.13.0
doi: 10.18129/B9.bioc.satuRn
abstract: satuRn provides a higly performant and scalable framework for performing
  differential transcript usage analyses. The package consists of three main functions.
  The first function, fitDTU, fits quasi-binomial generalized linear models that model
  transcript usage in different groups of interest. The second function, testDTU,
  tests for differential usage of transcripts between groups of interest. Finally,
  plotDTU visualizes the usage profiles of transcripts in groups of interest.
authors:
- family-names: Gilis
  given-names: Jeroen
  email: jeroen.gilis@ugent.be
preferred-citation:
  type: manual
  title: Scalable Analysis of differential Transcript Usage for bulk and single-Cell
    RNA-sequencing applications
  authors:
  - family-names: Gilis
    given-names: Jeroen
    email: jeroen.gilis@ugent.be
  year: '2024'
  url: http://www.bioconductor.org/packages/satuRn
  notes: https://github.com/statOmics/satuRn - R package version 1.13.0
  doi: 10.18129/B9.bioc.satuRn
repository: https://bioc.r-universe.dev
repository-code: https://github.com/statOmics/satuRn
url: https://github.com/statOmics/satuRn
date-released: '2022-08-05'
contact:
- family-names: Gilis
  given-names: Jeroen
  email: jeroen.gilis@ugent.be
references:
- type: article
  title: Scalable Analysis of Differential Transcript Usage for Bulk and Single-Cell
    RNA-sequencing Applications
  authors:
  - family-names: Gilis
    given-names: Jeroen
  - family-names: Vitting-Seerup
    given-names: Kristoffer
  - family-names: Berge
    given-names: Koen
    name-particle: Van den
  - family-names: Clement
    given-names: Lieven
  year: '2021'
  journal: F1000
  doi: (https://doi.org/10.12688/f1000research.51749.1
  url: https://f1000research.com/articles/10-374/v1