PPanGGOLiN V2: technical enhancement and extended functionalities for prokaryotic pangenome analysis

The exponential growth of genomic data, particularly for microbes, has made pangenomic approaches a gold standard for large-scale comparative genomics.

By capturing the full genomic diversity of a species rather than relying on a single reference, pangenomics has transformed microbial genomics, revealing the adaptive potential of bacteria and the evolutionary dynamics underlying functional diversity.

Among available tools, PPanGGOLiN distinguishes itself through its graph-based model coupled with statistical gene partitioning.

Here we present PPanGGOLiN v2, which introduces substantial improvements across three dimensions: new analytical features that expand what users can investigate, a comprehensive software architecture redesign that improves maintainability and extensibility, and performance improvements that address the computational demands of ever-growing genomic datasets.