Step 1: Understanding Dynamic Programming for Sequence Alignment
The time complexity of dynamic programming for sequence alignment between multiple sequences is \(O(n^3)\), where \(n\) is the length of each sequence, and there are three sequences being aligned.
Step 2: Evaluating the Options
- \(5n^3\): Incorrect time complexity for three sequences.
- \(6n^3\): Incorrect, does not match the expected time complexity.
- \(7n^3\) Correct, the time complexity is typically \(O(n^3)\) for three sequences.
- \(8n^3\): Incorrect, does not match the expected time complexity.
Step 3: Conclusion
The time complexity for dynamic programming for aligning three sequences is \(O(n^3)\), which corresponds to the option \(7n^3\).
List I: Fermentation Products | List II: Strain used | ||
A | Mast cells | I | Clostridium tetani |
B | Lymphocytes | II | Brevibacterium sp. |
C | T-cells | III | Leuconostac mesenteroids |
D | Monocytes- Macrophages | IV | Bacillus subtillis |
V | Streptomyces olivaceus |
Jobs are stagnant from the past few years. Unemployment is a sheer waste of manpower. Corruption, bribery and __________ favour the undeserving job seekers.
Surveillance cameras are __________ these days. These cameras have obvious benefits.