Organisers

Richard Baldock, Peter Kohl, Catherine Gale and Paul Kellam

Introduction

Many aspects of biomedical and clinical research, as well as clinical practice, are dependent on computation. This includes data gathering, visualisation, mathematical modelling, sophisticated computation, large scale data analysis, informatics and data-basing. Progress in basic and applied biomedical research depends increasingly on cross-disciplinary research using high-performance computing and access to large data-resources. How for example can high-performance computing be delivered on demand, interactively, and in time for diagnosis  - urgent computing in the provision of clinical services. A functional e-Science grid in its most general sense is required for this level of collaboration, interoperability and resource management. The UK and EU has funded a number of large-scale projects (e.g. the Virtual Physiological Human) which can serve as a model for how this type of research can be delivered via e-Science. The UK All Hands Meetings have served as a mechanism to build a community focussed on e-Science issues. The goal of the Computational Biomedicine track is to act as a focus for UK computational biomedicine e-Science to bring together research scientists from the essential disciplines to discus and deliver the collaborative structures, data-management and computational resource. The track will be organised as a series of plenary lectures, submitted papers and discussion sessions, including designated cross-over talks with other tracks of the conference. The sequence will flow from the small to the large scale - from molecules to man. The first day will focus on the genomic, molecular and cellular level modelling of pathways, interactions and cellular behaviour. The second will target tissue and organ-level response, physiology, data standards, infrastructures and visualisation. The third day will address whole organism analysis and link through to population, clinical studies and trials.

We invite contributions in the following areas:

• Genomic,  molecular and cellular level modelling of pathways, interactions and  cellular behaviour
• Tissue and organ-level  response, physiology, data standards, infrastructures and  visualisation
• Whole organism analysis  and link through to population, clinical studies and trials