Edinburgh Research Explorer

Eilidh Troup - Teacher

Parallel Computing with R using SPRINT on post-genomic data

In collaboration with PRACE we’re pleased to announce a 2 day “Parallel Computing with R using SPRINT on post-genomic data” course in Swansea on 29-30 May 2014. 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.
29 May 2014

ID: 52843767