EMBL-EBI course | Systems biology: from large datasets to biological insight
Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
Web Address
https://www.ebi.ac.uk/training/events/systems-biology-large-datasets-biological-insight-1/?utm_source=genetics+society&utm_medium=event+listing&utm_campaign=SYS23_gensoc&utm_id=SYS23_gensoc
Registration
Deadline: 09/07/2023
Click here to register
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
Speakers:
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
