title: HPC AND GRID COMPUTING FOR INTEGRATIVE BIOMEDICAL RESEARCH.
abstract: 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.
authors.affiliation: CENTER FOR COMPREHENSIVE INFORMATICS, EMORY UNIVERSITY, ATLANTA, GA 30322, USA.
authors.forename: Tahsin
authors.initials: T
authors.lastname: Kurc
authors.forename: Shannon
authors.initials: S
authors.lastname: Hastings
authors.forename: Vijay
authors.initials: V
authors.lastname: Kumar
authors.forename: Stephen
authors.initials: S
authors.lastname: Langella
authors.forename: Ashish
authors.initials: A
authors.lastname: Sharma
authors.forename: Tony
authors.initials: T
authors.lastname: Pan
authors.forename: Scott
authors.initials: S
authors.lastname: Oster
authors.forename: David
authors.initials: D
authors.lastname: Ervin
authors.forename: Justin
authors.initials: J
authors.lastname: Permar
authors.forename: Sivaramakrishnan
authors.initials: S
authors.lastname: Narayanan
authors.forename: Yolanda
authors.initials: Y
authors.lastname: Gil
authors.forename: Ewa
authors.initials: E
authors.lastname: Deelman
authors.forename: Mary
authors.initials: M
authors.lastname: Hall
authors.forename: Joel
authors.initials: J
authors.lastname: Saltz