29-30 May 2014
Wales, UK
Europe/London timezone

Please note the course will be held in Wales:
Digital Technium Lab 002
University of Swansea
Singleton Park
Swansea SA2 8PP

Description

SPRINT provides easy access to HPC for the analysis of high throughput post genomic data using the statistical programming language R. SPRINT contains several already parallelised functions of use in statistical analysis, machine learning pattern analysis and processing of biological “big data” (eg. microarrays, next-generation sequencing and high-throughput screens). SPRINT allows R users easy access to HPC without the need to engage in parallel programming.

This course gives an introduction to HPC (what it is, how to access it, and complications of use), followed by a detailed introduction to SPRINT, practical use cases and tutorials with SPRINT on an HPC platform.

Pre-requisites
  • Basic familiarity with running statistical analyses in R.
  • Basic familiarity with analysis of large biological data sets (e.g. microarrays or Next Generation Sequencing).
  • Basic ability to program
Learning Outcomes
  • Able to use SPRINT to speed up specific R statistical analyses on an HPC platform
  • An appreciation of HPC concepts applicable to post-genomics analyses
Starts 29 May 2014 09:00
Ends 30 May 2014 15:00
Europe/London
Wales, UK
Digital Technium Lab 002
University of Swansea, Singleton Park, Swansea SA2 8PP.

This course is part-funded by the PRACE project and is free to all. Please register using the online form. If you have any questions, please consult the course forum page or contact epcc-support@epcc.ed.ac.uk.

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