Table 2.
Relative strengths of five pangenome graph construction tools. Explanation of rows: (1) efficacy of construction algorithm, measuring wall-clock time; (2) degree to which variants (e.g., SNPs) are retained; (3) ability of a tool to perform well on large datasets, both in comparison to other tools but also compared to smaller datasets; (4) ability to modify the produced data structure to add or remove haplotypes; (5) property of producing the same result irrespective of perturbations, such as permutation of the input order, and repeating the same run; (6) existence of tools (and operations) that can be applied to the resulting graphs; (7) whether input haplotypes information is retained by the tools, and if so, its space efficiency; (8) whether the entire graph can be directly visualized and interpreted; (9) easiness of “zooming in” a specific genomic region and interpret variants; (10) summarizes the functionalities provided by the tools to annotate the pangenomes with genomic data; (11) ability to share information between the graph and a linear reference
| Metric | Bifrost | pggb | Minigraph-Cactus | Minigraph | mdbg |
|---|---|---|---|---|---|
| 1) Construction speed | |||||
| 2) Variations | |||||
| 3) Scalablilty | |||||
| 4) Editability | |||||
| 5) Stability | |||||
| 6) Accessibility by downstream applications | |||||
| 7) Haplotype compression performance | |||||
| 8) Ease of visualization | |||||
| 9) Loci visualization and interpretability | |||||
| 10) Metadata and annotation | |||||
| 11) Compatibility with a linear reference coordinates |