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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 "SGSeq" in publications use:'
type: software
license: Artistic-2.0
title: 'SGSeq: Splice event prediction and quantification from RNA-seq data'
version: 1.39.0
doi: 10.1371/journal.pone.0156132
abstract: SGSeq is a software package for analyzing splice events from RNA-seq data.
  Input data are RNA-seq reads mapped to a reference genome in BAM format. Genes are
  represented as a splice graph, which can be obtained from existing annotation or
  predicted from the mapped sequence reads. Splice events are identified from the
  graph and are quantified locally using structurally compatible reads at the start
  or end of each splice variant. The software includes functions for splice event
  prediction, quantification, visualization and interpretation.
authors:
- family-names: Goldstein
  given-names: Leonard
  email: ldgoldstein@gmail.com
preferred-citation:
  type: article
  title: Prediction and Quantification of Splice Events from RNA-Seq Data.
  authors:
  - family-names: Goldstein
    given-names: Leonard D
  - family-names: Cao
    given-names: Yi
  - family-names: Pau
    given-names: Gregoire
  - family-names: Lawrence
    given-names: Michael
  - family-names: Wu
    given-names: Thomas D
  - family-names: Seshagiri
    given-names: Somasekar
  - family-names: Gentleman
    given-names: Robert
  year: '2016'
  journal: PLoS ONE
  volume: '11'
  issue: '5'
  doi: 10.1371/journal.pone.0156132
  start: e0156132
repository: https://bioc.r-universe.dev
contact:
- family-names: Goldstein
  given-names: Leonard
  email: ldgoldstein@gmail.com