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GRID-enabled bioinformatics applications for comparative genomic analysis at the CBBC
Conference paper

GRID-enabled bioinformatics applications for comparative genomic analysis at the CBBC

A. Hunter, D. Schibeci, H.L. Hiew and M. Bellgard
2004 IEEE International Conference on Cluster Computing (IEEE Cat. No.04EX935)
IEEE
2004 IEEE International Conference on Cluster Computing, ICCC 2004 (San Diego, CA, USA, 20/09/2004–23/09/2004)
2004
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Abstract

Bioinformatics is an important application area for Grid computing. The Grid computing issues required to tackle current bioinformatics challenges include processing power, large-scale data access and management, security, application integration, data integrity and curation, control/automation/ tracking of workflows, data format consistency and resource discovery. In this poster, we describe preliminary steps taken to develop a Grid environment to advance Bioinformatics research. We developed a system called Grendel, with the aims of providing Bioinformatics researchers transparent access to basic computational resources used in their research. Grendel is a platform and language independent web-services based system for distributed resource management utilising Sun Grid Engine that provides a single entry point for computational tasks while keeping the actual resources transparent to the user. Grendel is developed in Java and deployed using the Tomcat. Client libraries have been developed in Perl and Java to provide access to computation resource exported via Grendel.

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