Sniffles2
面向长读段测序数据的结构变异检测工具，结合断点信号和覆盖度变化识别插入、缺失、倒位等复杂事件。 该方法对 PacBio 和 ONT 数据均有良好表现，适合群体水平与单样本的长读段结构变异分析。
| Property | Value |
|---|---|
| Purpose | 基于长读段数据进行高精度结构变异检测 |
| Time Complexity | O(n * c) |
| Space Complexity | O(n) |
| Year | 2023 |
| 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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