Cloud Computing is a relatively new technology that allows users to access their computational cores and databases remotely while a third party maintains the equipment. For researchers, this means that they can start analysing their data as soon as they obtain it without worrying about scaling up their in-house infrastructure or maintaining expensive servers.

This guide will introduce you to some of the most important features for genomicists in the cloud:

  • A history of genomic data 
  • Transferring data at scale 
  • Storing data at scale 
  • Ensuring data security 
  • Data analysis options 

We’ve put this guide together in conjunction with one of the best names in Cloud Computing, Amazon Web Services, to give you the most up to date information there is, illustrated with interviews and case studies from: 

  • Harvard Medical School
  • UC Santa Cruz Genomics Institute
  • WuXi NextCODE 
  • DNAnexus 
  • Benchling

This is part of our highly popular 101 guides series. Also available, are our Clinical Genomics 101, Genomic Data 101, and Gene Editing 101. Thousands have already downloaded their copies, as they provide the perfect introduction to some of the key technologies driving progress in the field of genomics.

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