Real Data File Size and Access Speed Comparison for Genomic Formats

Benchmark data compares file sizes and access speeds for compressed genomic sequence formats. The dataset includes size ratios relative to FASTQ.GZ and speedup ratios comparing FASTQ.GZ to BINSEQ access times. It was authored by Noam Teyssier and last updated on May 28, 2026.

Use Cases

• Evaluate storage efficiency based on size ratios between VBQ, BQ, and FASTQ.GZ formats
• Benchmark data access performance based on speedup ratios for BINSEQ format
• Compare lossless four-bit encoding (VBQ) against two-bit encoding (BQ) for genomic data
• Design high-throughput genomic analysis systems based on parallel benchmark results using 32 threads

Strengths

• Benchmarks performed on specific hardware (Dual Intel Xeon Platinum 8468 CPU with NVMe SSDs)
• Parallel benchmarks used a defined number of threads (32)
• File size is provided (5.5 KB), indicating a small, focused dataset

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download

Provenance

Source

Noam Teyssier via figshare

Collection Method

Benchmarking performed on specific hardware; exact data collection method is not detailed.

Freshness

Last updated 2026-05-28 17:42:52