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VERSION:2.0
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CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260808T230104Z
UID:70d25a72-751e-45a7-9eff-945e43acf910
DTSTART:20170705T123000Z
DTEND:20170706T210000Z
DESCRIPTION:Several big data genomics projects\, including the ICGC\, are d
 eciding to host their data in the Cloud and to provide access to configura
 ble virtual machines (VM) with which to compute on this data (thereby remo
 ving the need to purchase and maintain your own compute cluster). Similarl
 y\, many labs are moving to renting compute time from various cloud provid
 ers. Analysis of a single genome or a smaller selected subset differs from
  analysis of multiple genomes\, particularly in the compute infrastructure
  required.\n\nTo navigate through working in this new compute space\, the 
 CBW has developed a 2-day course providing an introduction to security and
  privacy issues related to working on human genome data and the processes 
 necessary to access such data. After reviewing cloud computing infrastruct
 ure\, the workshop will also provide a hands-on introduction to launching 
 and configuring your own virtual machine (VM)\, accessing cloud-based data
  sets\, and how to scale up the number of VMs to meet your analysis needs.
  Customizing VMs with your own tools and cloud-computing best practices wi
 ll also be discussed.\n\nParticipants will gain practical experience and s
 kills to be able to:\n\nLaunch their own virtual machine (VM)\nConfigure a
  VM with prepackaged tools\nPull in data sets from Cloud repositories\nFol
 low best practices in data and workflow management\nCustomize a VM with th
 eir own tools\nScale up their VM to meet their analysis needs
LOCATION:Toronto
SUMMARY:Cloud Computing in Bioinformatics with Big Data
URL;VALUE=URI:https://bioinformatics.ca/workshops/2017/cloud-computing-bioi
 nformatics-big-data-2017
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