The advancement of high-throughput next generation sequencing (NGS) technology has made it possible for scientists to explore the field of Systems Biology to the extent that was not envisioned before. With the help of high performance computing resources, we can exploit the topic even further and study the minute details of the interactions between proteins and pathways. We focus on the study of characteristics of genes in various living tissues and their collective effect on various Cancer and Immune Pathways. For this purpose, we gather data sets from wide variety of public sources eg. The Cancer Genome Atlas (TCGA), ENCODE, cBIO Portal, KEGG Pathways, Wiki Pathways etc, and develop methods to integrate them to model the intricacies of Systems biology.
Reviewing pathways on LCD video wall: TOPAS (Topology-Based Pathway Analysis System) is an entirely web-based pathway scoring and drawing/editing system. It allows scientists to map high throughput genomics data onto candidate pathways to hypothesize which specific pathways or axes of pathways are used in their system under investigation.