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DTSTAMP:20260615T182903Z
UID:d88df1fc-da67-4838-b735-da39283b54cc
DTSTART:20220321T090000Z
DTEND:20220325T170000Z
DESCRIPTION:Identify the challenges\, strategies and resources for multi-om
 ics data integration using biological examples. \n\nThe virtual course wi
 ll focus on the use of public data resources and open access tools for ena
 bling integrated working\, with an emphasis on data visualisation. Working
  with public domain data can provide added value to data derived through a
  researcher’s own work and additionally  inform experimental design. Th
 is course is highly relevant in the current research scenario\, where an i
 ncreased volume of data across the whole spectrum of biology has created b
 oth more opportunities and challenges to identifying novel perspectives an
 d answering questions in the life sciences. This course will focus on issu
 es around data integration\, but will not include systems biology modellin
 g or machine learning approaches.\n\nA major element of this course is a g
 roup project\, where participants will be organised in small groups to wor
 k together on a challenge set by the project mentors. These will allow par
 ticipants to explore the bioinformatics tools and resources introduced in 
 the course and to apply these to a set problem\, providing hands-on experi
 ence of relevance to their own research. The group work will culminate in 
 a presentation session involving all participants on the final day of the 
 course\, giving an opportunity for wider discussion on the benefits and ch
 allenges of integrating data. You may refer to the previous group projects
  that were organised for [this course in February 2021](http://ftp.ebi.ac.
 uk/pub/training/2021/Mutiomics_Feb21/).\n\n**Virtual course**\n\nThe cours
 e will involve participants learning via pre-recorded lectures\, live pres
 entations\, and trainer Q&amp\;A sessions. The content will be delivered o
 ver [Zoom](https://zoom.us/)\, with additional text communication over [Sl
 ack](https://slack.com/intl/en-gb/).\n\nComputational practicals will be r
 un on EMBL-EBI's virtual training infrastructure\; this means there is no 
 need to have a powerful computer to run exercises or a requirement to inst
 all complex software before the course. Trainers will be available to prov
 ide support\, answer questions\, and further explain the analysis during t
 hese practicals.\n\nParticipants will need to be available between the hou
 rs of 09:30 - 18:00 GMT each day of the course
SUMMARY:Introduction to multi-omics data integration and visualisation
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/introduction-multiomics
 -data-integration-and-visualisation-2022
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