SPRING Compress
针对大规模 FASTQ 数据集开发的重排序压缩工具，通过读段排序和参考序列编码实现极高的压缩比。 该方法能够处理海量测序数据，在百万级乃至亿级读段规模下仍保持高效的压缩性能和可接受的运行时间。
| Property | Value |
|---|---|
| Purpose | 大规模 FASTQ 数据集的高比率重排序压缩 |
| Time Complexity | O(n log n) |
| Space Complexity | O(n) |
| Year | 2020 |
| Difficulty | Intermediate |
| Languages | C++ |
| Category | Data Compression |
Complexity Analysis
- Time Complexity:
O(n log n) - Space Complexity:
O(n)
Performance Insight: The time complexity of this algorithm is quasi-linear (n log n), balancing practical efficiency with theoretical near-optimality. 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
SPRING · fqzcomp · Genozip