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CALSCALE:GREGORIAN
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DTSTAMP:20260407T181529Z
UID:00a498b0-b64b-44d6-9ff5-1879ea1042c7
DTSTART:20250707T090000Z
DTEND:20250711T170000Z
DESCRIPTION:This course covers the use of computational tools to extract bi
 ological insight from omics datasets. The content will explore a range of 
 approaches – from network inference and data integration to machine lear
 ning and logic modelling – that can be used to extract biological insigh
 ts from varied data types. Together these techniques will provide particip
 ants with a useful toolkit for designing new strategies to extract relevan
 t information and understanding from large-scale biological data.The motiv
 ation for running this course is a result of advances in computer science 
 and high-performance computing that have led to groundbreaking development
 s in systems biology model inference. With the comparable increase of publ
 icly-available\, large-scale biological data\, the challenge now lies in i
 nterpreting them in a biologically valuable manner. Likewise\, machine lea
 rning approaches are making a significant impact in our analysis of large 
 omics datasets and the extraction of useful biological knowledge.
LOCATION:European Bioinformatics Institute\, Hinxton
SUMMARY:Systems biology: from large datasets to biological insight
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/systems-biology-2025
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