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VERSION:2.0
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DTSTAMP:20260808T164828Z
UID:8b7952d5-0563-400a-9646-2a792b21eae9
DTSTART:20200730T100000Z
DTEND:20200730T120000Z
DESCRIPTION:One of the most important tasks of systems biology is to create
  explanatory and predictive models of complex biological systems. Availabi
 lity of gene expression data in different conditions has paved the way for
  reconstructing direct or indirect regulatory connections between various 
 genes and gene products. Most often\, we are not interested in single inte
 ractions between gene products\; instead\, we try to reconstruct networks 
 that provide insights into the investigated biological processes. \n\nThis
  webinar will introduce the importance and applications of Gene Expression
  Datasets (Microarrays and RNA-Seq)\, followed by methods of extraction an
 d analysis of Co-Expression Networks and Transcriptional Regulatory Networ
 ks from these datasets. The webinar will focus on the pros and cons of Wei
 ghted and Unweighted Networks\, citing examples to aid decisions about whi
 ch networks to use and when.   \n\nThe webinar will be presented in the fo
 rm of a lecture and tutorial with screenshots that enable listeners to emu
 late the protocols in R. Note that this is a webinar and not a coding exer
 cise.  Links to further reading and practice will be shared.\n\n\nPlease n
 ote that if you are not eligible for a University of Cambridge [Raven](htt
 p://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or 
 register your interest by linking [here](http://bioinfotraining.bio.cam.ac
 .uk/booking-form/?event-id=3516387&amp\;course-title=Co-Expressing%20Genes
 %20and%20Regulatory%20Networks%20webinar).''
LOCATION:Craik-Marshall Building
SUMMARY:Inferring Co-Expressing Genes and Regulatory Networks from RNA-Seq 
 Data (Webinar)
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/3516387
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