Additional File 2: chewBBACA 3 Performance and Schema Benchmarking Tables

Supplementary tables S1 to S13 accompany a research paper on chewBBACA 3, a tool for whole- and core-genome multilocus sequence typing. The tables contain performance metrics like runtime and memory usage for schema creation and allele calling, as well as schema composition statistics for multiple bacterial species. Rafael Mamede authored the file, which was last updated on May 1, 2026.

Use Cases

• Benchmarking computational performance of genomic typing software based on runtime and memory usage metrics.
• Comparing schema composition and allele diversity between different MLST tools and versions.
• Evaluating the classification of coding sequences (CDSs) by different bioinformatics pipelines.

Strengths

• Includes 13 distinct supplementary tables covering multiple aspects of tool performance and schema analysis.
• Provides specific metrics like runtime in minutes and peak memory usage in megabytes for direct comparison.
• Compares results across multiple tools (chewBBACA 2, chewBBACA 3, pyMLST) and execution modes.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (33.6 KB), indicating limited scope, likely containing summary tables rather than raw genomic data.

Provenance

Source

figshare, associated with a research paper on chewBBACA.

Collection Method

Likely generated as supplementary material from computational benchmarking experiments.

Freshness

Last updated 2026-05-01 04:42:09; freshness should be verified.