SPRING
专为 FASTQ 读段设计的无损压缩方法，通过重排序、基于参考的编码思想和质量值建模获得高压缩比。 该方法在大规模测序项目中能显著降低存储成本，是 FASTQ 专用压缩领域的重要代表工具。
| Property | Value |
|---|---|
| Purpose | FASTQ 读段及质量值的高比率无损压缩 |
| Time Complexity | O(n) |
| Space Complexity | O(n) |
| Year | 2019 |
| Category | Data Compression |
Complexity Analysis
- Time Complexity:
O(n) - Space Complexity:
O(n)
Performance Insight: The time complexity of this algorithm is linear (O(n)), scales linearly to TB-scale data and is suitable for streaming pipelines. Linear space can often be reduced by constant factors via sliding-window techniques.
Note: Complexity analysis is based on theoretical models. Actual runtime is affected by input scale, hardware, and implementation optimizations. Benchmark for your specific workload.
Literature & Implementation
Related Tools
Genozip · gzip · fqzcomp