sfs-impute v1.2.3: Reproducibility Bundle for Genotype Imputation Benchmark

sfs-impute v1.2.3 reproducibility bundle contains all materials to regenerate results from the sfs-impute manuscript. The 36.4 MB bundle includes cached benchmark results, simulation data, and scripts for figures and tables. It was authored by Xiaoming Liu and last updated on June 3, 2026.

Use Cases

• Reproducing benchmark results for genotype imputation methods based on the cached JSON data.
• Validating the sfs-impute algorithm's performance on large sample sizes using the cached per-cell simulation arrays.
• Generating manuscript figures and supplementary tables using the provided scripts and data.
• Comparing the SQUAREM-accelerated EM algorithm against the plain Vardi EM implementation.

Strengths

• Includes a complete reproducibility bundle with a 36.4 MB ZIP file containing all necessary data and scripts.
• Provides a 'fast path' script to recompute all manuscript numbers from cached results in seconds.
• Cached benchmark data covers three demographic scenarios and sample sizes up to 125,000.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific analyses.
• The data appears to be a static snapshot for reproducibility, not a regularly updated dataset.

Provenance

Source

figshare

Collection Method

Cached results from simulations and benchmarks for the sfs-impute manuscript.

Freshness

Last updated 2026-06-03 01:25:03; freshness should be verified.