Course content

To see details about the live ‘Introduction to multiomics data integration and visualisation’ course and the original programme, you can refer to the course page and programme.

The contents table below outlines the different sessions that were included in the course, as well as the format of the materials (slides/videos/practicals) and each session’s trainer. Either proceed through the materials using the arrows at the end of each page or pick your topic of interest from the table below to skip straight to it.

 Presentation slides –  View or download the slides

 Recorded lectures – Watch the lecture videos 

 Practicals – View or download the slides, exercises, datasets, analysis scripts and results

Format	Subject	Trainer
	Concepts and methods in multiomics data integration
	Multiple ways to integrate multiomics data – case studies from studying human diseases	Tamás Korcsmáros
	Quality issues – Data standards, curation, ontologies, and metadata	Sandra Orchard
	Introductory lecture on stats methods	Britta Velten
	Multi-Omics Factor Analysis (MOFA)	Britta Velten
	Single-cell data integration	Shila Ghazanfar
	Building networks and pathways with CytoScape	Marton Olbei and Dezso Modos
	Tools and resources in data integration and visualisation
	Introduction to multiomics integration using COSMOS	Aurelien Dugourd
	Multiomics comparative pathway analysis using ReactomeGSA	Johannes Griss
	Open Targets platform: integrating omics data for drug discovery	Helena Cornu and Kostas Tsirigos
	Omics Discovery Index	Gaurhari Dass
	Group projects
	How do intercellular interactions differ in Ulcerative colitis compared to healthy gut?	Dezso Modos and Marton Olbei
	Systematic generation of mechanistic hypotheses linking signaling and metabolism in cancer with COSMOS	Aurelien Dugourd
	Deciphering COVID-19 disease biology	Elena Lukyanova