MACS2
ChIP-seq 峰值检测的标准工具，使用泊松分布模型识别蛋白质-DNA 结合位点和组蛋白修饰区域。 该方法能有效校正局部偏差和背景噪声，支持窄峰和宽峰检测模式。
| Property | Value |
|---|---|
| Purpose | ChIP-seq 数据的峰值检测和富集分析 |
| Time Complexity | O(n) |
| Space Complexity | O(n) |
| Year | 2008 |
| Category | Epigenomics |
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
HOMER · SICER · ENCODE