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DTSTAMP:20260627T183944Z
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DTSTART:20140529T080000Z
DTEND:20140530T140000Z
DESCRIPTION:\n	Please note the course will be held in Wales:\n	Digital Tech
 nium Lab 002\n	University of Swansea\n	Singleton Park\n	Swansea SA2 8PP\nD
 escription\nSPRINT provides easy access to HPC for the analysis of high th
 roughput post genomic data using the statistical programming language R. S
 PRINT contains several already parallelised functions of use in statistica
 l analysis\, machine learning pattern analysis and processing of biologica
 l “big data” (eg. microarrays\, next-generation sequencing and high-th
 roughput screens). SPRINT allows R users easy access to HPC without the ne
 ed to engage in parallel programming.\nThis course gives an introduction t
 o HPC (what it is\, how to access it\, and complications of use)\, followe
 d by a detailed introduction to SPRINT\, practical use cases and tutorials
  with SPRINT on an HPC platform.Pre-requisites\n		Basic familiarity with r
 unning statistical analyses in R.\n	\n		Basic familiarity with analysis of
  large biological data sets (e.g. microarrays or Next Generation Sequencin
 g).\n	\n		Basic ability to program\nLearning Outcomes\n		Able to use SPRIN
 T to speed up specific R statistical analyses on an HPC platform\n	\n		An 
 appreciation of HPC concepts applicable to post-genomics analyses\n\n\nhtt
 ps://events.prace-ri.eu/event/283/
SUMMARY:Parallel Computing with R using SPRINT on post-genomic data @ EPCC
URL;VALUE=URI:https://events.prace-ri.eu/event/283/
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