Multioviz: an interactive platform forin silicoperturbation and interrogation of gene regulatory networks

Abstract

AbstractIn this paper, we aim to build a tool that will help bridge the gap between high-dimensional computation and wet-lab experimentation by allowing users to interrogate genomic signatures at multiple molecular levels and identify best next actionable steps for downstream decision making. We introduceMultioviz: a publicly accessibleRpackage and web application platform to easily performin silicohypothesis testing of generated gene regulatory networks. We demonstrate the utility ofMultiovizby conducting an end-to-end analysis in a statistical genetics application focused on measuring the effect ofin silicoperturbations of complex trait architecture. By using a real data set from the Wellcome Trust Centre for Human Genetics, we both recapitulate previous findings and propose hypotheses about the genes involved in the percentage of immune CD8+ cells found in heterogeneous stocks of mice. Source code for theMultioviz Rpackage is available athttps://github.com/lcrawlab/multio-vizand an interactive version of the platform is available atmultioviz.ccv.brown.edu.