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BEGIN:VEVENT
DTSTAMP:20260615T060408Z
UID:3584bdf2-bf5b-4b79-bb93-84858f2fc9ed
DTSTART:20161116T150000Z
DTEND:20161116T160000Z
DESCRIPTION:We would like to invite you to attend the 8th webinar in BioExc
 el’s\nwebinar series on computational methods and applications for\nbiom
 olecular research\, which will take place on 16th November 2016:\n\nPresen
 ter: Ravi Madduri (introduction by Stian Soiland-Reyes)\n\nWhen: Wed 16th 
 November 2016 16:00 CET (2016-11-16 15:00 UTC)\n\nRegistration: Free\n\nIn
  this BioExcel webinar we are delighted to have Ravi Madduri from Argonne 
 National Laboratory and University of Chicago present Globus Genomics\, a 
 system developed for rapid analysis of large quantities of next-generation
  sequencing (NGS) genomic data\, combining Galaxy workflows with cloud tec
 hnologies like Amazon EC2 and Globus File Transfer.\n\nThis system achieve
 s a high degree of end-to-end automation that encompasses every stage of d
 ata analysis including initial data retrieval from remote sequencing cente
 rs or storage (via the Globus file transfer system)\; specification\, conf
 iguration\, and reuse of multi-step processing pipelines (via the Galaxy w
 orkflow system)\; creation of custom Amazon Machine Images and on-demand r
 esource acquisition via a specialized elastic provisioner (on Amazon EC2)\
 ; and efficient scheduling of these pipelines over many processors (via th
 e HTCondor scheduler).\n\nThe system allows biomedical researchers to perf
 orm rapid analysis of large NGS datasets in a fully automated manner\, wit
 hout software installation or a need for any local computing infrastructur
 e.\n\nRavi’s work is part of the BD2K center Big Data for Discovery Scie
 nce\, building infrastructure for reproducible workflows using minids (min
 imal viable identifiers)\, analyzing data at scale using identified Docker
  containers\, publish results in to Globus Publication services thus provi
 ding an end-to-end framework for reproducible research.\n\nIn this BioExce
 l webinar\, Ravi will present Globus Genomics and the technologies used to
  achieve large-scale analytical Galaxy workflows on the cloud. We think th
 is will be of interest not just for the genomics community\, but for any s
 cientific workflow users who need to consider distributed deployments\, da
 ta management and scalability.\n
SUMMARY:Large-scale analytical workflows on the cloud using Galaxy and Glob
 us
URL;VALUE=URI:http://bioexcel.eu/webinar-8-2016-11-16-workflows-galaxy-glob
 us/
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