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The tidyomics ecosystem: Enhancing omic data analyses


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.

In BioRxiv,BioRxiv.

More detail can easily be written here using Markdown and $\rm \LaTeX$ math code.