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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260812T023733Z
UID:d309876b-5cb7-4f5a-b85d-56f6831de853
DTSTART:20261106T093000Z
DTEND:20261106T173000Z
DESCRIPTION:Many experimental studies produce lists of genes or transcripts
  associated with a biological condition or phenotype. While small lists ca
 n often be examined individually\, larger datasets usually require structu
 red approaches to identify common biological themes and functional relatio
 nships.\n\nThis course provides a practical introduction to extracting bio
 logical information from gene lists using gene set enrichment approaches. 
 Participants will learn about the software packages\, databases\, and stat
 istical methods used to perform functional analyses and interpret their re
 sults.\n\nThe course covers the theory of gene set enrichment\, different 
 types of enrichment tests\, and the sources of gene sets available for ana
 lysis. Participants will gain practical experience using both web-based to
 ols and programmatic approaches in R. The course also discusses artefacts 
 and sources of bias that can lead to misleading conclusions and considers 
 appropriate ways to perform analyses and present results.\n\nBy the end of
  the course\, participants should be able to perform and critically evalua
 te gene set enrichment analyses and effectively communicate their findings
 .\n\nTeaching is primarily hands-on\, with short presentations and demonst
 rations introducing the concepts and methods needed to analyse and interpr
 et gene lists.\n\n\n      Book this event or register interest\n      This
  event is not yet open for booking. Please choose the section that applies
  to you.\n      \n      University of Cambridge member\n      Register int
 erest\n      External participant\n      Register interest\n      \n      
 \n\n== Intended audience ==\n\nThis course is suitable for:\n\n* researche
 rs and students who work with gene or transcript lists generated from expe
 rimental studies\n* participants who want practical experience with gene s
 et enrichment and functional analysis approaches\n* researchers interested
  in extracting biological meaning from high-throughput datasets\n* partici
 pants with a working knowledge of R\n\n== Course fees ==\n\nAll fees are p
 er full training day.\n\n{| class="wikitable"\n|-\n! Category\n! Fee\n|-\n
 | Industry full charge\n| £130.00\n|-\n| Academic / Government / charity 
 concessionary\n| £65.00\n|-\n| Cambridge University staff members / postd
 ocs / visitors\n| £65.00\n|-\n| Cambridge University registered students\
 n| Free\n|-\n| Cambridge University registered students non-attendance\n| 
 £22.00\n|-\n| Special events\n| Per event\n|}\n\nPayment options will be 
 provided in booking confirmation emails sent after registration.\n\n[More 
 details…](https://bioinfotraining.bio.cam.ac.uk/postgraduate/eligibility
 )\n\n== General information ==\n\nMore detailed information is available o
 n our dedicated [cancellation and non-attendance policy](https://bioinfotr
 aining.bio.cam.ac.uk/cancellation-and-non-attendance)\, [waiting list](htt
 ps://bioinfotraining.bio.cam.ac.uk/waiting-list)\, [accessibility](https:/
 /bioinfotraining.bio.cam.ac.uk/accessibility-support)\, [privacy policies]
 (https://bioinfotraining.bio.cam.ac.uk/privacy-and-cookie-policies) and [t
 erms &amp\; conditions](https://bioinfotraining.bio.cam.ac.uk/https%3A/bio
 infotraining.bio.cam.ac.uk/events/terms-and-conditions) pages.\n\nGuidance
  on visiting Cambridge and finding accommodation is available [here](https
 ://bioinfotraining.bio.cam.ac.uk/about).
LOCATION:Craik-Marshall Building
SUMMARY:Extracting biological information from gene lists (ONLINE LIVE TRAI
 NING)
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/6432527
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