Integrative biomedical research projects query, analyze, and integrate many different data types and make use of datasets obtained from measurements or simulations of structure and function at multiple biological scales. With the increasing availability of high-throughput and high-resolution instruments, the integrative biomedical research imposes many challenging requirements on software middleware systems. In this paper, we look at some of these requirements using example research pattern templates. We then discuss how middleware systems, which incorporate Grid and high-performance computing, could be employed to address the requirements.
['Tahsin M. Kurç', 'Shannon Hastings', 'Vijay Kumar', 'Stephen Langella', 'Ashish Sharma', 'Tony Pan', 'Scott Oster', 'David Ervin', 'Justin Permar', 'Sivaramakrishnan Narayanan', 'Yolanda Gil', 'Ewa Deelman', 'Mary W. Hall', 'Joel H. Saltz']
HPC and Grid Computing for Integrative Biomedical Research