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DTSTAMP:20190719T085744Z
LOCATION:HG EO Nord
DTSTART;TZID=Europe/Stockholm:20190613T195000
DTEND;TZID=Europe/Stockholm:20190613T215000
UID:submissions.pasc-conference.org_PASC19_sess179_post124@linklings.com
SUMMARY:LIF01 - Health 2030 Genome Center: a Stateful Data Analysis Platfo
 rm for Genomic Medicine
DESCRIPTION:Poster\n\n\nLIF01 - Health 2030 Genome Center: a Stateful Data
  Analysis Platform for Genomic Medicine\n\nBartha, Howald, Lamparter, Hars
 hman, Fellay...\n\nOver the past decade, access to genomic information imp
 roved dramatically, thanks to technological developments and innovative in
 terdisciplinary efforts. Interpreting the life- and disease relevant infor
 mation encoded in and by DNA and RNA is becoming easier by the day thanks 
 to the technological developments. Genomic Medicine, i.e. the individualiz
 ation of prevention and treatment based on genomic information, is becomin
 g a reality in several countries, starting with the UK and followed by oth
 ers such as Switzerland. This advance comes with computational challenges,
  notably the necessity to compute rapidly the rapidly-increasing interpret
 able fraction of the genome, but also to maintain and reanalyze regularly 
 this wealth of data for clinical and research purposes. The growth in the 
 amount of genomic data has surpassed our capacity to store it, priming the
  community to develop better solutions for representing genomes, such CRAM
  and MPEG-G. The Health2030 Genome Center is an innovative project that pr
 ovides both data generation as well as data analytics to support genomic m
 edicine. We will present both the state of the art in the field and t
 he computational challenges emerging from implementing, sustaining, exposi
 ng and re-analyzing accurately the clinically-interpretable genome as
  well as the approaches the Health2030 is taking to address these issues.
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