The tidyomics ecosystem: Enhancing omic data analyses

WJ Hutchison, TJ Keyes, The Tidyomics Consortium, LH Crowell,C Soneson,V Yuan,AA Nahid,W Mu, J Park, ES Davis, M Tang, PP Axisa, N Sato,R Gottardo,M Morgan,S Lee,M Lawrence,SC Hicks,GP Nolan, KL Davis,AT Papenfuss,M Love,S Mangiola

biorxiv(2023)

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摘要
The exponential growth of omic data presents challenges in data manipulation, analysis, and integration. Addressing these challenges, Bioconductor offers an extensive data analysis platform and community, while R tidy programming offers a standard data organisation and manipulation that has revolutionised data science. Bioconductor and tidy R have mostly remained independent; bridging these two ecosystems would streamline omic analysis, ease learning and encourage cross-disciplinary collaborations. Here, we introduce the tidyomics ecosystem—a suite of interoperable software that brings the vast tidy software ecosystem to omic data analysis. ### Competing Interest Statement The authors have declared no competing interest.
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