Getting Started

To get started simply follow the sections tutorials in this Jupyter Book or find the code online at our GitHub.

Attending ECCB ‘26 Tutorial 8: From Multi-Omics to Gene–Disease Discovery: Knowledge Graphs and LLM-Augmented Analysis

For those of you attending our tutorial at ECCB ‘26 we have a dedicated Jupyter server with all data and code already available here. Simply use your dedicated username and password.

External Users

These notebooks and code are designed for the ECCB 2026 tutorial in Geneva, however, we encourage those interested in gene-disease discovery, multi-omics, knowledge graphs, or LLM’s to interact with the code, notebooks and the team.

All code required to execute this tutorial are provided as part of this book. All data is placed on the University of Edinburgh DataShare resource with a permanent DOI so it is available in perpetuity. Please contact a member of the team if you have any questions.

All materials require a working installation of Python with the package requirements shown below.

Requirements

Please install environment from the environment.yml file on the GitHub