PAGED: Application for protein-protein-interaction analysis with gene expression data

Jiwoong Seok, Kijin Yu and Seongbeom Cho

Korea National Institute of Health, Korea

Many important problems in cell biology require the dense nonlinear interactions between functional modules to be considered. The importance of computer simulation in understanding cellular processes is now widely accepted, and a variety of simulations algorithms useful for studying certain subsystems have been designed. Currently, many studies and services are published for explaining biological effect of protein expression and protein interaction network. But tissue specific network systeml for disease does not exist yet. Our application provides visualized network of PPI for analyzing expression data from case-control group. It analysis statistical correlation between expression data of disease/tissue specific samples then builds classified networks with PPI data from those sample groups.