HMMRATAC
专为 ATAC-seq 设计的开放染色质识别算法，使用隐马尔可夫模型整合不同片段长度信号进行峰值检测。 该方法能同时刻画核小体缺失区与周围核小体结构，在开放染色质分析中具有较高分辨率和稳健性。
| Property | Value |
|---|---|
| Purpose | 基于 ATAC-seq 信号识别开放染色质区域 |
| Time Complexity | O(n) |
| Space Complexity | O(n) |
| Year | 2019 |
| 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
MACS2 · Genrich · ATACseqQC