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DTSTAMP:20260901T025344Z
UID:27b571e8-d9d4-45b6-82d2-0d27623ae1c8
DTSTART:20220704T090000Z
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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 machin
 e learning and logic modelling - that can be used to extract biological in
 sights from varied data types. Together these techniques will provide part
 icipants with a useful toolkit for designing new strategies to extract rel
 evant information and understanding from large-scale biological data.\n\nT
 he motivation for running this course is a result of advances in computer 
 science and high-performance computing that have led to groundbreaking dev
 elopments in systems biology model inference. With the comparable increase
  of publicly-available\, large-scale biological data\, the challenge now l
 ies in interpreting them in a biologically valuable manner. Likewise\, mac
 hine learning approaches are making a significant impact in our analysis o
 f large omics datasets and the extraction of useful biological knowledge.\
 n\n**In-person course**  \n We plan to deliver this course in an in-person
  manner onsite at our training suite at EMBL-EBI\, Hinxton.  Please be aw
 are that we are continually evaluating the ongoing pandemic situation and\
 , as such\, may need to change the format of courses at short notice. Your
  safety is paramount to us\; you can read our [**COVID guidance policy**]
 (https://www.ebi.ac.uk/training/covid-policy) for more information. All i
 nformation is correct at time of publishing.
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-2022
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