Prodigal
高效的原核基因识别工具，使用动态规划算法自动学习物种特异性参数进行基因预测。 该方法无需训练数据即可准确预测蛋白编码基因，支持宏基因组模式处理混合物种数据。
| Property | Value |
|---|---|
| Purpose | 原核生物蛋白编码基因快速预测 |
| Time Complexity | O(n) |
| Space Complexity | O(n) |
| Year | 2010 |
| 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
Pyrodigal · GeneMark · Glimmer