Partnership and integration the future for LIMS
The development of LIMS will involve not only integrated data, but integration with enterprise applications, in Kevin Smith's view
The development of LIMS will involve not only integrated data, but integration with enterprise applications, in Kevin Smith's view
We must move beyond software designed to solve single physics problems, according to Lars Langemyr
Clare Sansom talks to Janet Thornton, a pioneer of computing for the life sciences
Conrad Wolfram believes we should treat computers like cars: we should specify the problem and let the computer do the working out
Tom Wilkie looks at 10 years of scientific computing
Web services will offer a way for LIMS to integrate with enterprise resource planning systems, says Peter Rees
Rohit Khanna looks forward to the integration of instruments and software to master the mounds of data created in the lab
Dr John McAlister finds that scientific computing is not an end in itself but that success depends on it
Susie Stephens and Dennis Constantinou see Grid computing as the way to master the flood of information from the life sciences
Jack Little believes that model-based design is the best way to turn new ideas into real things
Robert Roe explores advances in CPU, accelerator and networking hardware that is being designed to support exascale.
Professor Dieter Kranzlmüller of Leibniz Supercomputing Centre (LRZ) outlines the work of the facility
A round-up of the latest products for scientists using networking technologies
A round-up of the latest storage products and technology available for scientists using HPC