Public omics data are valuable resources. However, they are often fragmented across multiple repositories and stored in different raw formats, units, and metadata standards. These lead to major challenges in accessibility, harmonization, and standardization, hindering researchers and organizations from effectively utilizing the data.

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Pythiomics is a multi-omics database developed and curated by Pythia Biosciences with an aim to create a single, united multi-omics database for scientists to explore. By combining state-of-the-art AI techniques for metadata harmonization and cell type prediction with meticulous manual curation and quality control, Pythiomics DB provides a standardized and reliable data resource for biopharmaceutical companies and research institutions to accelerate data analysis, data integration, and data-driven drug discovery.

 

Most importantly, Pythiomics can be interactively explored via the C-DIAM Multi-Omics Studio platform - making it accessible to all scientists who want to leverage the data. 

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