Advances in molecular biology have led to an astounding growth in information generated by the scientific community [Barnes and Gray, 2003]. This has intensified the need for efficient access to and management of large data sets to maximize their utility. The CC has currently implemented the use of the Network Common Data Form (netCDF) interface that allows one to create, access and share array-oriented data in a self-describing and por table form (http://www.unidata.ucar.edu/software/netcdf). As genotyping data accrues in GENEVA sophisticated bioinformatics tools for data management and knowledge expansion will be vital for integration with other components of the GEI Genetics Program such as development of relational databases to combine information on SNP annotation, putative function and biological pathways. These will complement and provide necessary support for novel loci uncovered in genetic association studies.
