Bioinformatics for T-Cell immunology - Multiomics data - Part 1 (Case studies from studying human diseases)

Overview:The presentation covers why it is useful to use protein-protein interaction networks, and the advantages of combining them with regulatory and metabolic interactions. We discuss intra- and inter-cellular signaling, and what are the most useful resources available to analyse your own data. Then four network medicine examples will demonstrate multi-omics integration in the field of infectious, cancerous and inflammatory diseases.

Learning outcome
By the end of this session you will be able to:

• Describe key application areas and methods in Network Medicine and biology driven multi-omics data integration.
• Define the main data sources for Network Medicine
• Summarise the main challenges and limitations with using networks
• Apply the knowledge to other projects
• Discuss some advantages of Network and Precision Medicine in therapy selection and drug repurposing

Tamás Korcsmáros – Imperial College London / Earlham Institute

Tamas is a Senior Lecturer at Imperial College London. His group has carried out multiple projects to predict, analyse and validate host-microbe interactions in the gut, especially in relation to the regulation of autophagy by microbes and upon disease conditions such as inflammatory bowel disease (IBD) and cancer.

Matthew Madgwick – Earlham Institute

Matthew is a final year PhD student within the Korcsmáros group. With industrial partner BenevolentAI, he is developing machine learning (ML), and systems biology approaches to integrate longitudinal multi-omic data.