TELLME: LLM-based narratives to explain and empower systems biology research

TELLME will develop an AI service that generates clear, unbiased explanations of complex systems biology and multi-omics models. These models capture rich biological information but are difficult to interpret holistically. Using large language models, TELLME will translate pathway graphs, knowledge networks and multi-omics maps into clear narratives enriched with literature. This will reduce time-consuming manual interpretation and improve the accessibility, FAIRness and clarity of complex data. The tool will integrate with ELIXIR resources through open APIs, containerisation and AAI compatibility.

Predicted outcomes:

  • AI-driven, citation-rich narrative explanations of systems biology and multi-omics models
  • Containerised, open-source service registered in bio.tools and compatible with Galaxy
  • Integration with Europe PMC, Ensembl, Reactome, MetaboLights, OpenTargets
  • TeSS-listed tutorials, training materials and community adoption activities
  • Ethical guidelines and provenance tracking for trustworthy AI
     
Duration: 2026 to 2027
Platform/Community