EMBL-EBI course | Systems biology: from large datasets to biological insight

EMBL-EBI course | Systems biology: from large datasets to biological insight 23 October, 2023 - 27 October, 2023

Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK

Web Address



Deadline: 09/07/2023
Click here to register

Submit your abstract here

General Information

This course covers the use of computational tools to extract biological insight from omics datasets. The content will explore a range of approaches – ranging from network inference and data integration to machine learning and logic modelling – that can be used to extract biological insights from varied data types. Together these techniques will provide participants with a useful toolkit for designing new strategies to extract relevant information and understanding from large-scale biological data.

The motivation for running this course is a result of advances in computer science and high-performance computing that have led to ground-breaking developments in systems biology model inference. With the comparable increase of publicly-available, large-scale biological data, the challenge now lies in interpreting them in a biologically valuable manner. Likewise, machine learning approaches are making a significant impact in our analysis of large omics datasets and the extraction of useful biological knowledge.

Deadline for submissions: n/a

Meeting organisers:

EMBL’s European Bioinformatics Institute



Ricard Argelaguet, Altos Labs

Charles Barker, EMBL-EBI

Alex Bateman, EMBL-EBI

Javier De Las Rivas, University of Salamanca

Aurelien Dugourd, Heidelberg University

Federica Eduati, Eindhoven University of Technology

Konrad Förstner, ZB MED – Information for Life Sciences & TH Köln

Theodoros Koutsandreas, EMBL-EBI

Valentina Lorenzi, EMBL-EBI

Evangelia Petsalaki, EMBL-EBI

Till Sauerwein, ZB MED Cologne