The SPRINT approach to network biology - Edinburgh Research Explorer

Edinburgh Research Explorer

The SPRINT approach to network biology

Project: Research

Ghazal, Peter (Principal Investigator)
Sloan, Terence (Co-investigator)
Cebamanos, Luis (Researcher)
Forster, Thorsten (Researcher)
Mitchell, Lawrence (Researcher)
Robertson, Kevin (Researcher)
Troup, Eilidh (Researcher)

Status	Finished
Effective start/end date	1/10/12 → 30/09/14

Total award	£160,441.00
Funding organisation	BBSRC
Funder project reference	BB/J019283/1

Total award	£161,169.00
Funding organisation	BBSRC
Funder project reference	BB/J019283/1

Period	1/10/12 → 30/09/14

Activities

Statistical Analysis for Post-Genomic Data: Parallel Computing with R @ EPCC
Activity: Participating in or organising an event types › Participation in workshop, seminar, course
One-day workshop between SPRINT and CRUK
Activity: Academic talk or presentation types › Invited talk
Parallel computing with SPRINT and R
Activity: Other activity types › Types of External academic engagement - Research and Teaching at External Organisation
Introduction to Parallel processing in R using SPRINT
Activity: Other activity types › Types of External academic engagement - Research and Teaching at External Organisation
University of Wales, Swansea
Activity: Visiting an external institution types › Research and Teaching at External Organisation
Statistical Analysis for Post-Genomic Data: Parallel Computing with R @ EPCC
Activity: Participating in or organising an event types › Participation in workshop, seminar, course

Research outputs

Embedded systems for global e-Social Science: Moving computation rather than data
Research output: Contribution to journal › Article › peer-review
SPRINT: taking biomedical analysis from the desktop to supercomputers and the cloud
Research output: Other contribution
SPRINT: more runners, fewer hurdles
Research output: Other contribution
SPRINT v1.0.4 Software Release
Research output: Non-textual form › Software
Exploiting Parallel R in the Cloud with SPRINT
Research output: Contribution to journal › Article › peer-review
SPRINT v1.0.5 Software Release: SPRINT 1.0.5 - November 2013
Research output: Non-textual form › Software
SPRINT v1.0.6 Software Release
Research output: Non-textual form › Software
Using SPRINT and parallelised functions for analysis of large data on multi-core Mac and HPC platforms
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
SPRINT v1.0.7 Software Release
Research output: Non-textual form › Software
Parallel classification and feature selection in microarray data using SPRINT
Research output: Contribution to journal › Article › peer-review
Parallel Optimisation of Bootstrapping in R
Research output: Working paper
Mastering Parallel Programming with R: Master the robust features of R parallel programming to accelerate your data science computations
Research output: Book/Report › Book