ViSEN: Methodology and Software for Visualization of Statistical Epistasis Networks

Lay Summary 

The nonlinear interaction effect among multiple genetic factors, i.e. epistasis, has been recognized as a key component in understanding the underlying genetic basis of complex human diseases and phenotypic traits. Due to the statistical and computational complexity, most epistasis studies are limited to interactions with an order of two. We developed ViSEN to analyze and visualize epistatic interactions of both two-way and three-way. ViSEN not only identifies strong interactions among pairs or trios of genetic attributes, but also provides a global interaction map that shows neighborhood and clustering structures. This visualized information could be very helpful to infer the underlying genetic architecture of complex diseases and to generate plausible hypotheses for further biological validations. ViSEN is implemented in Java and freely available at https://sourceforge.net/projects/visen.

Departments 
Computer Science
Funding 
Natural Sciences And Engineering Research Council Of Canada (NSERC)
Locations 
Newfoundland and Labrador
Themes 
Bioinformatics
Genomics
Health
Information Technology
Medical Research
Computer Science
Industry Sectors 
Health Care and Social Assistance
Scientific Research and Development Services
Computer Systems Design and Related Services
Start date 
1 Apr 2010