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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 "TransProR" in publications use:'
type: software
license: MIT
title: 'TransProR: Analysis and Visualization of Multi-Omics Data'
version: 0.0.6
doi: 10.32614/CRAN.package.TransProR
abstract: A tool for comprehensive transcriptomic data analysis, with a focus on transcript-level
  data preprocessing, expression profiling, differential expression analysis, and
  functional enrichment. It enables researchers to identify key biological processes,
  disease biomarkers, and gene regulatory mechanisms. 'TransProR' is aimed at researchers
  and bioinformaticians working with RNA-Seq data, providing an intuitive framework
  for in-depth analysis and visualization of transcriptomic datasets. The package
  includes comprehensive documentation and usage examples to guide users through the
  entire analysis pipeline. The differential expression analysis methods incorporated
  in the package include 'limma' (Ritchie et al., 2015, <https://doi.org/10.1093/nar/gkv007>;
  Smyth, 2005, <https://doi.org/10.1007/0-387-29362-0_23>), 'edgeR' (Robinson et al.,
  2010, <https://doi.org/10.1093/bioinformatics/btp616>), 'DESeq2' (Love et al., 2014,
  <https://doi.org/10.1186/s13059-014-0550-8>), and Wilcoxon tests (Li et al., 2022,
  <https://doi.org/10.1186/s13059-022-02648-4>), providing flexible and robust approaches
  to RNA-Seq data analysis. For more information, refer to the package vignettes and
  related publications.
authors:
- family-names: Yu
  given-names: Dongyue
  email: yudongyue@mail.nankai.edu.cn
  orcid: https://orcid.org/0000-0002-7041-2073
repository: https://sssydysss.r-universe.dev
repository-code: https://github.com/SSSYDYSSS/TransProR
commit: e090e5907ce04bbfef72bacdb2bbbf82b9fe6790
url: https://github.com/SSSYDYSSS/TransProRBook
contact:
- family-names: Yu
  given-names: Dongyue
  email: yudongyue@mail.nankai.edu.cn
  orcid: https://orcid.org/0000-0002-7041-2073