[BioC] Announcement: (Free) Course 29-30 May, HPC Wales: Parallel Computing with R using SPRINT on post-genomic data

[SPRINT Project]

Dear List Members

Registration is now open for the above course, this is free to all and  
part-funded by PRACE (and run in conjunction with ARCHER and HPC  
Wales). After recent upgrades to SPRINT (now also running on Mac  
multi-cores and compatible with MPI3) we have put this course together  
to provide guidance for our package and its parallelised R and  
Bioconductor packages.

Registration and information available here:
http://www.archer.ac.uk/training/

Who may benefit:
Anyone dealing with large data sets (next gen sequencing or microarray  
data) in R, where computation times or memory issues arise when using  
machine learning (clustering, classification) or other approaches  
(bootstrapping, measuring distances between sequences, applying  
functions for large matrices, other statistics).

We will outline some HPC basics and how to access HPC resources, but  
this course is not intended to introduce or develop parallel  
programming skills. However, you're more than welcome to join in  
and/or seek us out for discussion of "Big Data" in R.

Pre-requisites:
Basic familiarity with using R. Basic familiarity with large  
biological data sets (not a hard requirement, but our use cases will  
focus on these types of data).
Visit www.r-sprint.org to get an overview of the parallelised  
functionality SPRINT currently provides.



SPRINT Project

sprint at ed.ac.uk
www.r-sprint.org

The University of Edinburgh

-- 
The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.

Dr. Thorsten Forster
Division of Pathway Medicine (DPM)
University of Edinburgh Medical School
Chancellor's Building
49 Little France Crescent
Edinburgh
Scotland, UK
EH16 4SB
0131 242 6287
www.pathwaymedicine.ed.ac.uk

-- 
The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.