Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture explores the Needleman-Wunsch algorithm for optimal protein sequence alignment, demonstrating dynamic programming to solve repetitive sequential problems. It covers the basics of dynamic programming, the alignment of DNA sequences, scoring methods, and the recursive and iterative implementation of the algorithm. The lecture also delves into the complexities of the algorithm, including the exponential nature of the naive approach and the use of matrices for substitution scores. The presentation concludes with optimization techniques to reduce memory usage and execution time.
This video is available exclusively on Mediaspace for a restricted audience. Please log in to MediaSpace to access it if you have the necessary permissions.
Watch on Mediaspace