Speaker
Description
As the volume of omics single-cell data continues to grow, so too must our data management and processing capabilities to ensure its effective secondary use, particularly in research and diagnostics. While single-cell data holds immense potential for AI applications, current documentation standards fall short of being AI-ready. To address these challenges, we organized a Writathon, resulting in a comprehensive white paper.
The outcomes of this project will directly contribute to significant national and international infrastructure initiatives, most notably the German Human Genome-Phenome Archive (GHGA), a national genomics platform funded by the NFDI, and scverse, a community-driven framework dedicated to develop core infrastructure and interoperable software for essential analytics in single-cell genomics.
In addition, please add 3 to 5 keywords.
Single-cell, Metadata, AI-ready, Omics, Big data
| Please assign yourself (presenting author) to one of the following groups. | Scientists and technicians who maintain and operate research infrastructure for data generation |
|---|---|
| For whom will your contribution be of most interest? | Data professionals and stewards |
