RNAmmer
核糖体 RNA 基因预测工具，利用隐马尔可夫模型从基因组序列中精确识别 5S、16S 和 23S rRNA 基因及其前体。 该方法是微生物基因组注释流程中的重要组件，为系统发育分析和宏基因组分类提供必需的 rRNA 序列信息。
| Property | Value |
|---|---|
| Purpose | 基因组中核糖体 RNA 基因的精确预测 |
| Time Complexity | O(n * s) |
| Space Complexity | O(n) |
| Year | 2007 |
| Difficulty | Intermediate |
| Languages | Perl, C |
| Category | Gene Prediction |
Complexity Analysis
- Time Complexity:
O(n * s) - Space Complexity:
O(n)
Performance Insight: The time complexity of this algorithm is polynomial. 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
Barrnap · BLAST · SILVA