ChromHMM
基于隐马尔可夫模型的染色质状态注释工具，整合多种组蛋白修饰信号自动学习和标注染色质状态。 该方法能发现启动子、增强子、异染色质等功能区域，是表观基因组注释的标准方法。
| Property | Value |
|---|---|
| Purpose | 染色质状态自动发现和基因组注释 |
| Time Complexity | O(n * s^2) |
| Space Complexity | O(n * s) |
| Year | 2012 |
| Category | Epigenomics |
Complexity Analysis
- Time Complexity:
O(n * s^2) - Space Complexity:
O(n * s)
Performance Insight: The time complexity of this algorithm is polynomial.
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
Segway · ENCODE · EpiCSeg