Multioviz: an interactive platform for in silico perturbation and interrogation of gene regulatory networks

Xie, H.; Crawford, L.; Conard, A. M.

doi:10.1101/2023.10.10.561790

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bioRxiv · 10.1101/2023.10.10.561790

Multioviz: an interactive platform for in silico perturbation and interrogation of gene regulatory networks

Xie, H.·Crawford, L.·Conard, A. M.

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Abstract

In 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 introduce Multioviz: a publicly accessible R package and web application platform to easily perform in silico hypothesis testing of generated gene regulatory networks. We demonstrate the utility of Multioviz by conducting an end-to-end analysis in a statistical genetics application focused on measuring the effect of in silico perturbations 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 the Multioviz R package is available at https://github.com/lcrawlab/multio-viz and an interactive version of the platform is available at multioviz.ccv.brown.edu.

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Xie, H., Crawford, L., Conard, A. M.. 2023-10-11. Multioviz: an interactive platform for in silico perturbation and interrogation of gene regulatory networks. https://doi.org/10.1101/2023.10.10.561790

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