Ayam Gupta

Abstract Motivation: Genome graphs represent genetic diversity by highlighting polymorphic regions, but current methods lack the ability to characterize and compare their complex structures effectively. Results: Our study introduces GViNC: a framework for Genome graph Visualisation, Navigation, and Comparison. GViNC maps genomic coordinates onto genome graph nodes, facilitating subgraph partitioning by regions, which aids in navigating and comparing genetic data.

Abstract Background: Genome graphs are reference structures appropriate for studying genetic diversity. By emphasising the polymorphic regions in a collection of genomes, their network layout can capture and compare the genetic diversity of different populations of interest. However, there are no existing methods to characterise and compare genome graphs based on their complex structures.

Abstract Genome graphs offer a powerful alternative to linear reference genomes, as they provide a richer representation of a collection of genomes by emphasising the polymorphic regions. Despite their advantages, it is difficult to characterise the structural complexity of a genome graph and efficiently call variants using it.