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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 "RCAS" in publications use:'
type: software
license: Artistic-2.0
title: 'RCAS: RNA Centric Annotation System'
version: 1.31.0
doi: doi:10.1093/nar/gkx120
abstract: RCAS is an R/Bioconductor package designed as a generic reporting tool for
  the functional analysis of transcriptome-wide regions of interest detected by high-throughput
  experiments. Such transcriptomic regions could be, for instance, signal peaks detected
  by CLIP-Seq analysis for protein-RNA interaction sites, RNA modification sites (alias
  the epitranscriptome), CAGE-tag locations, or any other collection of query regions
  at the level of the transcriptome. RCAS produces in-depth annotation summaries and
  coverage profiles based on the distribution of the query regions with respect to
  transcript features (exons, introns, 5'/3' UTR regions, exon-intron boundaries,
  promoter regions). Moreover, RCAS can carry out functional enrichment analyses and
  discriminative motif discovery.
authors:
- family-names: Uyar
  given-names: Bora
  email: bora.uyar@mdc-berlin.de
- family-names: Yusuf
  given-names: Dilmurat
- family-names: Wurmus
  given-names: Ricardo
- family-names: Akalin
  given-names: Altuna
preferred-citation:
  type: article
  title: 'RCAS: an RNA centric annotation system for transcriptome-wide regions of
    interest'
  authors:
  - family-names: Uyar
    given-names: Bora
    email: bora.uyar@mdc-berlin.de
  - family-names: Yusuf
    given-names: Dilmurat
  - family-names: Wurmus
    given-names: Ricardo
  - family-names: Rajewsky
    given-names: Nikolaus
  - family-names: Ohler
    given-names: Uwe
  - family-names: Akalin
    given-names: Altuna
  journal: Nucleic Acids Research
  year: '2017'
  doi: doi:10.1093/nar/gkx120
repository: https://bioc.r-universe.dev
date-released: '2024-03-19'
contact:
- family-names: Uyar
  given-names: Bora
  email: bora.uyar@mdc-berlin.de