cuteSV
面向长读段测序数据的结构变异检测工具，通过对不同变异类型信号的聚类分析识别基因组变异。 该方法对插入、缺失、倒位和易位等变异类型均有良好检测效果，适用于 Nanopore 和 PacBio 数据分析。
| Property | Value |
|---|---|
| Purpose | 基于长读段数据通过信号聚类检测结构变异 |
| Time Complexity | O(n * c) |
| Space Complexity | O(n) |
| Year | 2020 |
| Category | Variant Calling |
Complexity Analysis
- Time Complexity:
O(n * c) - Space Complexity:
O(n)
Performance Insight: The time complexity of this algorithm is polynomial. 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
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