GoldRush: Contiguity and Correctness Metrics for Long-Read Genome Assemblies

QUAST-reported metrics for genome assemblies generated from experimental long-read data using the GoldRush tool. The 9.5 KB Excel file, authored by Parham Kazemi and last updated in May 2026, likely contains tabular data on assembly quality. The dataset is shared under a CC-BY-4.0 license.

Use Cases

• Benchmarking the GoldRush assembly tool based on reported contiguity and correctness metrics.
• Comparing assembly quality across different experimental long-read datasets.
• Analyzing trade-offs between contiguity and correctness in genome assemblies.
• Validating new assembly algorithms against established QUAST metrics.

Strengths

• Dataset is small (9.5 KB), facilitating quick download and inspection.
• Uses a standard, open license (CC-BY-4.0) for clear reuse permissions.
• Focuses on specific, standardized metrics (QUAST) for assembly evaluation.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare, author Parham Kazemi.

Collection Method

Likely generated by running the QUAST tool on assemblies produced by GoldRush from experimental long-read data.

Time Range

null

Freshness

Last updated 2026-05-06 17:39:43; freshness should be verified.

Geography

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