GLIMMER
面向细菌和古菌基因组的编码区识别工具，使用插值马尔可夫模型高效发现开放阅读框和起始位点。 该方法是原核基因预测的经典方案之一，在完整基因组和草图组装中都具有良好的准确性和计算效率。
| Property | Value |
|---|---|
| Purpose | 原核基因组中的开放阅读框与基因边界预测 |
| Time Complexity | O(n) |
| Space Complexity | O(n) |
| Year | 1998 |
| Category | Gene Prediction |
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
Prodigal · GeneMark · FragGeneScan