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DTSTAMP:20260711T124623Z
UID:8e404d16-f908-459a-a6b0-16feeddb0ff1
DTSTART:20211209T093000Z
DTEND:20211214T130000Z
DESCRIPTION:PLEASE NOTE The Bioinformatics Team are presently teaching many
  courses live online\, with tutors available to help you work through the 
 course material on a personal copy of the course environment. We continue 
 to monitor advice from the UK government and the University of Cambridge o
 n resuming in-person teaching back in the training room.\n\nComplex natura
 l systems permeate many aspects of everyday life—including human intelli
 gence\, social media\, biomedicine\, agriculture\, economics\, even our pe
 rsonal and professional relationships. The past decade has seen intensific
 ation of research into structural and dynamical properties of complex netw
 orks. This course will introduce the basic principles of network theory\, 
 and hands-on DIY Network analysis using Cytoscape\, one of the most widely
  used global platforms for construction and analysis of biomolecular netwo
 rks such as gene regulatory interactions\, protein complexes\, hydrogen-bo
 nding meshwork in active sites and neuronal networks. The aim is to concep
 tualize your own textual\, tabular or genomic datasets as networks\, and t
 o understand how simple topological features can help to decipher complex 
 properties of systems and processes.\n\nPlease note that if you are not el
 igible for a University of Cambridge [Raven](http://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
 =4152497&amp\;course-title=Complex%20Network%20Analysis%20for%20Biologists
 ).''
LOCATION:Craik-Marshall Building
SUMMARY:Complex Network Analysis for Biologists (ONLINE LIVE TRAINING)
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/4152497
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