Towards a lightweight generic computational grid framework for biological research.
BACKGROUND
An increasing number of scientific research projects require access to large-scale computational resources. This is particularly true in the biological field, whether to facilitate the analysis of large high-throughput data sets, or to perform large numbers of complex simulations - a characteristic of the emerging field of systems biology.


RESULTS
In this paper we present a lightweight generic framework for combining disparate computational resources at multiple sites (ranging from local computers and clusters to established national Grid services). A detailed guide describing how to set up the framework is available from the following URL: http://igrid-ext.cryst.bbk.ac.uk/portal_guide/.


CONCLUSIONS
This approach is particularly (but not exclusively) appropriate for large-scale biology projects with multiple collaborators working at different national or international sites. The framework is relatively easy to set up, hides the complexity of Grid middleware from the user, and provides access to resources through a single, uniform interface. It has been developed as part of the European ImmunoGrid project.
Halling-Brown
Mark D
MD
Institute of Structural and Molecular Biology, School of Crystallography, Birkbeck College, Malet Street, London, WC1E 7HX, UK. m.halling-brown@mail.cryst.bbk.ac.uk
Moss
David S
DS
Shepherd
Adrian J
AJ
D001695:Biology / Q000379:methods*; D003198:Computer Simulation; D007107:Immune System / Q000276:immunology*; D020407:Internet; D018448:Models, Immunological; D012107:Research Design; D049490:Systems Biology / Q000379:methods*