Compression Method Performance Metrics for Paired-End Sequencing File Formats

Noam Teyssier's dataset compares different compression methods and their performance metrics across various file formats for paired-end sequencing records. The data includes time in seconds, size in megabytes, and a combined score metric, along with details on bit size, parallel execution, bandwidth, and speedup. It was last updated on May 28, 2026.

Use Cases

• Benchmarking compression algorithm speed and efficiency based on reported time and size metrics.
• Evaluating the impact of parallel processing on compression performance based on the 'Parallel' column.
• Comparing storage footprint across file formats using the 'Bit Size' and 'Size' columns.
• Analyzing throughput for data pipelines using the 'Bandwidth' (Gbp/s) metric.

Strengths

• Dataset provides a direct comparison of multiple performance metrics, including time, size, bandwidth, and speedup.
• Includes a defined combined score metric (Equation 4) for normalized evaluation.
• Explicitly states the unit of measurement for each key metric (seconds, megabytes, Gbp/s).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 9.5 KB, indicating limited scope.

Provenance

Source

figshare

Freshness

Last updated 2026-05-28 17:42:51; freshness should be verified.