Supporting Scientific Biological Applications With Seamless Database Access in Interoperable E-Science Infrastructures

Abstract

In the last decade, computational biological applications have become very well integrated into e-Science infrastructures. These distributed resources, containing computing and data sources, provide a reasonable environment for computing and data demanding applications. The access to e-Science infrastructures is mostly enstablished via Grids, where Grid clients support scientists using different types of resources. This paper extends an instance of the infrastructure interoperability reference model to remove the lack by adding centralized access to distributed computational and database resources via a graphical Grid client.