# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "EZbakR" in publications use:'
type: software
license: MIT
title: 'EZbakR: Analyze and Integrate Any Type of Nucleotide Recoding RNA-Seq Data'
version: 0.2.0
doi: 10.32614/CRAN.package.EZbakR
abstract: A complete rewrite and reimagining of 'bakR' (see 'Vock et al.' (2025) <https://doi.org/10.1371/journal.pcbi.1013179>).
  Designed to support a wide array of analyses of nucleotide recoding RNA-seq (NR-seq)
  datasets of any type, including TimeLapse-seq/SLAM-seq/TUC-seq, Start-TimeLapse-seq
  (STL-seq), TT-TimeLapse-seq (TT-TL-seq), and subcellular NR-seq. 'EZbakR' extends
  standard NR-seq standard NR-seq mutational modeling to support multi-label analyses
  (e.g., 4sU and 6sG dual labeling), and implements an improved hierarchical model
  to better account for transcript-to-transcript variance in metabolic label incorporation.
  'EZbakR' also generalized dynamical systems modeling of NR-seq data to support analyses
  of premature mRNA processing and flow between subcellular compartments. Finally,
  'EZbakR' implements flexible and well-powered comparative analyses of all estimated
  parameters via design matrix-specified generalized linear modeling.
authors:
- family-names: Vock
  given-names: Isaac
  email: isaac.vock@gmail.com
  orcid: https://orcid.org/0000-0002-7178-6886
repository: https://isaacvock.r-universe.dev
repository-code: https://github.com/isaacvock/EZbakR
commit: dd3e89ee7867330b31584455455a0380f32a61c7
url: https://isaacvock.github.io/EZbakR/
date-released: '2026-01-25'
contact:
- family-names: Vock
  given-names: Isaac
  email: isaac.vock@gmail.com
  orcid: https://orcid.org/0000-0002-7178-6886