# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "transcriptogramer" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'transcriptogramer: Transcriptional analysis based on transcriptograms'
version: 1.27.0
doi: 10.1093/bioinformatics/btz007
abstract: R package for transcriptional analysis based on transcriptograms, a method
  to analyze transcriptomes that projects expression values on a set of ordered proteins,
  arranged such that the probability that gene products participate in the same metabolic
  pathway exponentially decreases with the increase of the distance between two proteins
  of the ordering. Transcriptograms are, hence, genome wide gene expression profiles
  that provide a global view for the cellular metabolism, while indicating gene sets
  whose expressions are altered.
authors:
- family-names: Morais
  given-names: Diego
  email: vinx@ufrn.edu.br
- family-names: Dalmolin
  given-names: Rodrigo
  email: rodrigo.dalmolin@imd.ufrn.br
preferred-citation:
  type: article
  title: 'Transcriptogramer: an R/Bioconductor package for transcriptional analysis
    based on protein–protein interaction'
  authors:
  - family-names: Morais
    given-names: Diego A. A.
  - family-names: Almeida
    given-names: Rita M. C.
  - family-names: Dalmolin
    given-names: Rodrigo J. S.
  year: '2019'
  doi: 10.1093/bioinformatics/btz007
  journal: Bioinformatics
repository: https://bioc.r-universe.dev
repository-code: https://github.com/arthurvinx/transcriptogramer
url: https://github.com/arthurvinx/transcriptogramer
date-released: '2019-12-13'
contact:
- family-names: Morais
  given-names: Diego
  email: vinx@ufrn.edu.br