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DTSTAMP:20260903T100918Z
UID:423b2452-d748-4769-9be1-5cbd97f4cb1e
DTSTART:20210621T090000Z
DTEND:20210625T170000Z
DESCRIPTION:This course\, run with [Wellcome Connecting Science](https://co
 ursesandconferences.wellcomegenomecampus.org/)\, covers the use of multi-
 omics data and methodologies in systems biology. The content will explore 
 a range of approaches - ranging from network inference to machine learnin
 g - that can be used to extract biological insights from varied data type
 s. Together these techniques will provide participants with a useful toolk
 it for designing new strategies to extract relevant information and unders
 tanding from large-scale biological data.\n\nThe motivation for running th
 is course is a result of advances in computer science and high-performance
  computing that have led to groundbreaking developments in systems biology
  model inference. With the comparable increase of publicly-available\, lar
 ge-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 t
 he extraction of useful biological knowledge.\n\n#### Virtual course\n\nPa
 rticipants will learn via a mix of pre-recorded lectures\, live presentati
 ons\, and trainer Q&amp\;A sessions. Practical experience will be develope
 d through group activities and trainer-led computational exercises. Live s
 essions will be delivered using [Zoom](https://zoom.us/) with additional
  support and communication via [Slack](https://slack.com/intl/en-gb/). \
 n\nPre-recorded material will be made available to registered participants
  prior to the start of the course and the week before the course there wil
 l be a brief induction session. Computational practicals will run on EMBL
 -EBI's virtual training infrastructure\, meaning participants will not req
 uire access to a powerful computer or install complex software on their ow
 n machines\; however\, a small app will need to be installed to access the
  compute infrastructure.\n\nParticipants will need to be available between
  the hours of 09:30-17:30 BST each day of the course. Trainers will be ava
 ilable to assist\, answer questions\, and further explain the analysis dur
 ing these times.
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
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