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MDI-GPU : accelerating integrative modelling for genomic-scale data using GP-GPU computing
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Mason, Sam, Sayyid, Faiz, Kirk, Paul, Starr, Colin and Wild, David L. (2016) MDI-GPU : accelerating integrative modelling for genomic-scale data using GP-GPU computing. Statistical Applications in Genetics and Molecular Biology, 15 (1). pp. 83-86. doi:10.1515/sagmb-2015-0055
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WRAP_0582239-sm-090316-gpumdi.pdf - Accepted Version - Requires a PDF viewer. Download (312Kb) | Preview |
Official URL: http://dx.doi.org/10.1515/sagmb-2015-0055,
Abstract
The integration of multi-dimensional datasets remains a key challenge in systems biology and genomic medicine. Modern high-throughput technologies generate a broad array of different data types, providing distinct - but often complementary - information. However, the large amount of data adds burden to any inference task. Flexible Bayesian methods may reduce the necessity for strong modelling assumptions, but can also increase the computational burden. We present an improved implementation of a Bayesian correlated clustering algorithm, that permits integrated clustering to be routinely performed across multiple datasets, each with tens of thousands of items. By exploiting GPU based computation, we are able to improve runtime performance of the algorithm by almost four orders of magnitude. This permits analysis across genomic-scale data sets, greatly expanding the range of applications over those originally possible. MDI is available here: http://www2.warwick.ac.uk/fac/sci/systemsbiology/research/software/.
| Item Type: | Journal Article | ||||||
|---|---|---|---|---|---|---|---|
| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||||
| Divisions: | Faculty of Science > Computer Science Faculty of Science > Centre for Systems Biology |
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| Library of Congress Subject Headings (LCSH): | Graphics processing units | ||||||
| Journal or Publication Title: | Statistical Applications in Genetics and Molecular Biology | ||||||
| Publisher: | Walter de Gruyter | ||||||
| ISSN: | 1544-6115 | ||||||
| Official Date: | 24 February 2016 | ||||||
| Dates: |
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| Date of first compliant deposit: | 21 March 2016 | ||||||
| Volume: | 15 | ||||||
| Number: | 1 | ||||||
| Number of Pages: | 5 | ||||||
| Page Range: | pp. 83-86 | ||||||
| DOI: | 10.1515/sagmb-2015-0055 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||
| Funder: | Engineering and Physical Sciences Research Council (EPSRC) | ||||||
| Grant number: | EP/I036575/1 (EPSRC), EP/J020281/1 (EPSRC) |
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