Gene analysis using grid computing

A special type of parallel computing that relies on complete computers connected to a network and It allows flexible resource sharing among geographically distributed computing resources in multiple administrative domains is called Grid Computing. Controlled shell and controlled desktop mechanisms are used to restrict the user to execute only authorized commands and applications. Distributed grids can be formed from computing resources belonging to multiple individuals. Grid middleware is installed and integrated into the existing infrastructure of the involved technologies. Major Grid middleware´s are Globus Toolkit, gLite, and UNICORE. In this Grid we are using a new platform called GRISSOM, it means GRids for In Silico Systems biOlogy & Medicine. GRISSOM aims to set a generic paradigm of efficient meta-mining that promotes translational research in Biomedicine, through the fusion of Grid and Semantic Web computing technologies. Our paper deals with handling huge volume of biological data which is heterogeneous, autonomous and dynamic in nature. The aim of our paper is to analysis the gene-DNA microarray in a decentralized fashion. This will avoids manual errors in medical fields and provides user friendly platform for users.