Wednesday 22nd January

Summary

The seminar focused on significant updates to the Eona database for barley gene expression, emphasizing improved data reuse, automated workflows, and ongoing challenges with metadata quality.

• IBH seminar discusses major updates to the Eona database for barley gene expression.
• Eona aims to improve data reuse and analysis of RNA sequencing data.
• The project automated workflows for data discovery, retrieval, and quantification.
• New version includes a comprehensive reference transcript dataset with over 87,000 genes.
• Database offers insights into barley biology, gene expression, and stress responses.
• Metadata challenges necessitate manual curation; AI solutions may improve future submissions.
• TPM values enable direct comparison between samples across independent experiments.
• Current pangenome graph development faces scalability issues, limiting transcript mapping capabilities.
• Metadata quality and consistency pose challenges for database updates and submissions.
• Long reads determine transcript start and end sites, while short reads provide limited information.
• Future availability of raw TPM data will support extensive analysis opportunities.