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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 "cubar" in publications use:'
type: software
license: MIT
title: 'cubar: Codon Usage Bias Analysis'
version: 1.1.0
doi: 10.32614/CRAN.package.cubar
abstract: A suite of functions for rapid and flexible analysis of codon usage bias.
  It provides in-depth analysis at the codon level, including relative synonymous
  codon usage (RSCU), tRNA weight calculations, machine learning predictions for optimal
  or preferred codons, and visualization of codon-anticodon pairing. Additionally,
  it can calculate various gene- specific codon indices such as codon adaptation index
  (CAI), effective number of codons (ENC), fraction of optimal codons (Fop), tRNA
  adaptation index (tAI), mean codon stabilization coefficients (CSCg), and GC contents
  (GC/GC3s/GC4d). It also supports both standard and non-standard genetic code tables
  found in NCBI, as well as custom genetic code tables.
authors:
- family-names: Zhang
  given-names: Hong
  email: mt1022.dev@gmail.com
  orcid: https://orcid.org/0000-0002-4064-9432
- family-names: Liu
  given-names: Mengyue
- family-names: Zi
  given-names: Bu
repository: https://CRAN.R-project.org/package=cubar
repository-code: https://github.com/mt1022/cubar
url: https://mt1022.github.io/cubar/
date-released: '2024-12-07'
contact:
- family-names: Zhang
  given-names: Hong
  email: mt1022.dev@gmail.com
  orcid: https://orcid.org/0000-0002-4064-9432