Multioviz

Multioviz enables in silico perturbation and interrogation of gene regulatory networks to bridge high-dimensional computation with wet-lab experimentation.

Key Features:

• In silico perturbation: Users can perform hypothesis testing through simulated perturbations of gene regulatory networks.
• Multi-level genomic interrogation: The platform allows interrogation of genomic signatures at multiple molecular levels.
• Network analysis: Users can analyze generated gene regulatory networks to identify actionable downstream steps.
• R package and web application: Functionality is accessible through both an R package and an interactive web platform.

Scientific Applications:

• Statistical genetics: Measuring the effect of in silico perturbations on complex trait architecture, as demonstrated with a dataset from the Wellcome Trust Centre for Human Genetics.
• Immune cell analysis: Investigating genes involved in the percentage of immune CD8+ cells in heterogeneous stocks of mice.
• Hypothesis generation: Proposing hypotheses about gene involvement in phenotypic traits through network perturbation analysis.

Methodology:

Multioviz conducts end-to-end analysis using in silico perturbations of gene regulatory networks applied to real datasets, with a statistical genetics approach focused on complex trait architecture.