# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "omixVizR" in publications use:' type: software license: MIT title: 'omixVizR: A Toolkit for Omics Data Visualization' version: 1.4.5 doi: 10.32614/CRAN.package.omixVizR abstract: Provides a suite of tools for the comprehensive visualization of multi-omics data, including genomics, transcriptomics, and proteomics. Offers user-friendly functions to generate publication-quality plots, thereby facilitating the exploration and interpretation of complex biological datasets. Supports seamless integration with popular R visualization frameworks and is well-suited for both exploratory data analysis and the presentation of final results. Key formats and methods are presented in Huang, S., et al. (2024) "The Born in Guangzhou Cohort Study enables generational genetic discoveries" . authors: - family-names: Lu given-names: Zhen email: luzh29@mail2.sysu.edu.cn orcid: https://orcid.org/0000-0002-3481-6310 repository: https://leslie-lu.r-universe.dev repository-code: https://github.com/Leslie-Lu/omixVizR commit: 92bf95f9a1513962851518fde48f5107325263ee url: https://github.com/Leslie-Lu/omixVizR date-released: '2025-11-13' contact: - family-names: Lu given-names: Zhen email: luzh29@mail2.sysu.edu.cn orcid: https://orcid.org/0000-0002-3481-6310