Introduce algorithmic ideas for addressing real-world biological questions, including brute-force search, greedy algorithms, dynamic programming, randomized algorithms, graph algorithms, clustering algorithms and hidden Markov models.
Introduce algorithmic ideas for addressing real-world biological questions, including brute-force search, greedy algorithms, dynamic programming, randomized algorithms, graph algorithms, clustering algorithms and hidden Markov models.
