Date: 8 - 12 March 2027

With the increase in the volume of data across the whole spectrum of biology, more opportunities, as well as challenges, have been created to identify novel perspectives and answer questions in life sciences. This may also include public domain data, which can provide added value to data derived through your own work and inform experimental design. This introductory course will highlight the challenges that you may face in integrating multi-omics data sets using biological examples. The course will focus on the use of public data resources and open access tools for enabling integrated working, with an emphasis on data visualisation. We will not include systems biology modelling or machine learning.A major element of this course is a group project, where you will be placed in small groups to work together on a challenge set by trainers from EMBL-EBI data resources and research teams. This allows you to explore the bioinformatics tools and resources introduced in the course and to apply these to a set problem, providing hands-on experience of relevance to your own research. With your group, your work will culminate in a presentation session to all participants on the final day of the course, allowing wider discussion on the benefits and challenges of integrating data.Introduction to multi-omics data integration and visualisation 2027 is currently in development. Sign up for alerts to hear as this course develops. 

Keywords: Multi-omics data integration, Cosmos, Omnipath, Cytoscape

Venue: European Bioinformatics Institute, Hinxton

Region: Cambridge

Country: United Kingdom

Postcode: CB10 1SD

Organizer: European Bioinformatics Institute (EBI)

Event types:

  • Workshops and courses

Scientific topics: FAIR data, Multiomics, Systems biology


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