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DTSTAMP:20260908T015337Z
UID:10ce4406-98da-4a88-b299-cdcb11f6e6d9
DTSTART:20231023T090000Z
DTEND:20231027T170000Z
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 – ranging from network inference and data integration to mach
 ine learning and logic modelling – that can be used to extract biologica
 l 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.\
 n\nThe motivation for running this course is a result of advances in compu
 ter science and high-performance computing that have led to groundbreaking
  developments in systems biology model inference. With the comparable incr
 ease of publicly-available\, large-scale biological data\, the challenge n
 ow lies in interpreting them in a biologically valuable manner. Likewise\,
  machine learning approaches are making a significant impact in our analys
 is of large omics datasets and the extraction of useful biological knowled
 ge.\n\n**Additional information**\n\nPlease note that we will operate this
  course face-to-face at EMBL-EBI in Hinxton. Hybrid options are not curren
 tly available. We reserve the right to change the format of this course or
  cancel it\, due to the ongoing coronavirus pandemic.
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-large-d
 atasets-biological-insight-1
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