Advances in Visual Computing

Volume 5876 of the series Lecture Notes in Computer Science pp 909-918

Visualization of Gene Regulatory Networks

  • Muhieddine El KaissiAffiliated withCACS, University of Louisiana
  • , Ming JiaAffiliated withVRAC, Iowa State University
  • , Dirk ReinersAffiliated withCACS, University of Louisiana
  • , Julie DickersonAffiliated withVRAC, Iowa State University
  • , Eve WuerteleAffiliated withVRAC, Iowa State University

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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.