Visualization of Gene Regulatory Networks

Authors:
Muhieddine Kaissi;Ming Jia;Dirk Reiners;Julie Dickerson;Eve Wuertele
Affiliations:
CACS, University of Louisiana, Lafayette 70503;VRAC, Iowa State University, Ames 50011;CACS, University of Louisiana, Lafayette 70503;VRAC, Iowa State University, Ames 50011;VRAC, Iowa State University, Ames 50011
Venue:
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Year:
2009

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Abstract

Networks are a useful visualization tool for representing many types of biological data such as gene regulations. In this paper, We will present a novel graph drawing technique for visualizing gene regulatory networks. This technique is based on drawing the shortest paths between genes of interest using breadth-first-search algorithm. By drawing genes of interest and showing their regulatory networks, we were able to clearly understand the interaction between these genes. Visualization of Gene Regulatory Networks considerably reduces the number of displayed nodes and edges. This reduction in nodes and edges depends on the number of genes of interest as well as to the number of interactions between these genes.