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