Opening omics data science to all with tidyomics

Tidyomics is an R software ecosystem that enhances analyses and visualization of high-dimensional omics data. It harmonizes and interconnects popular data containers, applying the principles of tidy data analysis, a de facto standard in data science. Tidyomics does not alter original data containers, and it is compatible with existing workflows. We propose to improve the documentation, robustness, and interoperability of the Tidyomics ecosystem and extend it to new technologies. This project will focus on three primary objectives to augment the capabilities of Tidyomics, particularly targeting its application in single-cell atlas analysis, long-read RNA sequencing, and spatial profiling technologies. The proposed enhancements will ensure that Tidyomics remains at the forefront of omic data analysis, fostering cross-disciplinary collaborations and lowering barriers for new users. By expanding the scope of Tidyomics to cover new technologies and datasets and by supporting the training of new personnel in this domain, this project aims to significantly contribute to computational biology, facilitating advanced data analysis and accelerating scientific discovery.