Compression Method Performance for Single-End Genomic Records

A 9.5 KB Excel file compares compression methods for single-end genomic records. Noam Teyssier published the dataset on figshare, with a last update timestamp of 2026-05-28 17:42:50. Performance metrics include runtime in seconds, compressed size in megabytes, and a combined score based on normalized time and size.

Use Cases

• Benchmarking compression algorithm speed based on reported time in seconds
• Evaluating compression ratio efficiency based on output size in megabytes
• Comparing parallel processing performance based on the 'Parallel' column indicating 8-thread runs
• Analyzing the trade-off between speed and compression based on the combined 'Score' metric

Strengths

• Dataset is small (9.5 KB), enabling quick download and inspection.
• Performance metrics are clearly defined, including time (seconds), size (megabytes), and a combined score.
• The description specifies key columns like 'Bit Size', 'Parallel', 'Bandwidth', and 'Speedup'.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset's small size (9.5 KB) indicates a limited scope, likely a summary table rather than raw experimental data.

Provenance

Source

figshare

Collection Method

Likely contains results from computational benchmarking experiments.

Freshness

Last updated 2026-05-28 17:42:50; freshness should be verified.