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DTSTAMP:20260407T180058Z
UID:27191eff-779d-4222-8828-83bec7bf4aa3
DTSTART:20270308T090000Z
DTEND:20270312T170000Z
DESCRIPTION:With the increase in the volume of data across the whole spectr
 um of biology\, more opportunities\, as well as challenges\, have been cre
 ated to identify novel perspectives and answer questions in life sciences.
  This may also include public domain data\, which can provide added value 
 to data derived through your own work and inform experimental design. Thi
 s introductory course will highlight the challenges that you may face in i
 ntegrating multi-omics data sets using biological examples. The course wil
 l focus on the use of public data resources and open access tools for enab
 ling integrated working\, with an emphasis on data visualisation. We will 
 not include systems biology modelling or machine learning.A major element 
 of this course is a group project\, where you will be placed in small grou
 ps to work together on a challenge set by trainers from EMBL-EBI data reso
 urces and research teams. This allows you to explore the bioinformatics to
 ols and resources introduced in the course and to apply these to a set pro
 blem\, providing hands-on experience of relevance to your own research. Wi
 th your group\, your work will culminate in a presentation session to all 
 participants on the final day of the course\, allowing wider discussion on
  the benefits and challenges of integrating data.Introduction to multi-omi
 cs data integration and visualisation 2027 is currently in development. Si
 gn up for alerts to hear as this course develops. 
LOCATION:European Bioinformatics Institute\, Hinxton
SUMMARY:Introduction to multi-omics data integration and visualisation
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/introduction-multi-omic
 s-data-integration-and-visualisation-2027
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