A graph-based approach for the visualisation and analysis of bacterial pangenomes.

ABSTRACT:

Background

The advent of low cost, high throughput DNA sequencing has led to the availability of thousands of complete genome sequences for a wide variety of bacterial species. Examining and interpreting genetic variation on this scale represents a significant challenge to existing methods of data analysis and visualisation.

Results

Starting with the output of standard pangenome analysis tools, we describe the generation and analysis of interactive, 3D network graphs to explore the structure of bacterial populations, the distribution of genes across a population, and the syntenic order in which those genes occur, in the new open-source network analysis platform, Graphia. Both the analysis and the visualisation are scalable to datasets of thousands of genome sequences.

Con

SUBMITTER: Harling-Lee JD 

PROVIDER: S-EPMC9548110 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature