Computational Modelling Group

Workshop  29th May 2013 9 a.m.  James Clerk Maxwell Building, King's Buildings Mayfield Road Edinburgh EH9 3JZ. Room: 3217

Statistical Analysis for Post-Genomic Data: Parallel Computing with R @ EPCC

Web page
http://events.prace-ri.eu/conferenceDisplay.py?confId=149
Categories
Bioinformatics, Biomathematics, NextGen Sequencing, Quantitative Biology, R, Scientific Computing, statistical analysis
Submitter
Jess Jones

Course description: The course aims to give a general overview of the SPRINT package for performing large-scale statistical analysis in parallel. SPRINT provides an easy access mechanism to high performance computing for the analysis of high throughput post genomic data using the statistical programming language R. The course will cover the basics of the R programming language, then move on to explain how to benefit from the parallel features of SPRINT.

Learning outcome: Ability to use the R language in parallel for large-scale statistical analysis; An understanding of which R functions can benefit from parallelisation.

Pre-requisites: Programming ability in any high-level language. Understanding of statistics.

Dates: from 29 May 2013 09:00 to 30 May 2013 17:30 Timezone: GMT

Location: James Clerk Maxwell Building, King's Buildings Mayfield Road Edinburgh EH9 3JZ Room: 3217

Additional info:
This course is funded by the PRACE project and is free to all.

Please register using the online form