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DTSTAMP:20260923T231532Z
UID:89d08646-74bd-4503-b7b3-9fe9bd566b6b
DTSTART:20220912T090000Z
DTEND:20220916T170000Z
DESCRIPTION:This course will provide participants with an introduction and 
 hands-on training on modelling approaches\, tools and resources used in sy
 stems biology as well as touch on network analysis.\n\nComputer models are
  increasingly used to understand the essential processes of biology. Resea
 rchers in academic institutions as well as the pharmaceutical industry use
  mathematical models to generate hypotheses on how complex biomolecular sy
 stems work. Modelling of biochemical pathways deregulated in disease condi
 tions can offer mechanistic insights into the pathology\, help to elucidat
 e mechanisms behind drug action\, and predict the dose required for treatm
 ent thus facilitating fundamental research and drug discovery. This course
  will provide a helpful brief introduction to key modelling concepts and h
 ands on training to use popular tools and resources used in this scientifi
 c field.\n\n### **Virtual course**\n\nThis course has now been moved to a 
 virtual format. We will be using Zoom to run the live sessions (all fully 
 password protected with automated English closed captioning and transcript
 ion) with support and both scientific and social networking opportunities 
 provided by Slack and other methods\, taking different time zones into acc
 ount. In order to make the most out of the course\, you should make sure t
 o have a stable internet connection throughout the week and are available 
 between 09:00 - 17:30 British Summer Time (BST) each day. In the week befo
 re the course there will be a brief induction session. Computational pract
 icals will run on EMBL-EBI's virtual training infrastructure\, meaning par
 ticipants will not require access to a powerful computer or install comple
 x software on their own machines.
LOCATION:European Bioinformatics Institute\, Hinxton
SUMMARY:Mathematics of life: modelling molecular mechanisms
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/mathematics-life-modell
 ing-molecular-mechanisms-2022
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