Sequence Alignment and Dynamic Programming in Computational Biology - Lecture 4

Dive into the world of sequence alignment in this comprehensive 1-hour 23-minute lecture. Explore the foundations of comparative genomics and evolution, and learn how to apply dynamic programming principles to solve complex alignment problems. Understand the power of computation re-use and discover the efficiency of alignment matrices, paths, and traceback methods. Delve into local alignment techniques and linear-time, linear-space algorithms. Finally, master advanced concepts such as hashing, BLAST, inexact matching, and PSI-BLAST. Gain valuable insights into aligning sequential datasets and models, essential for computational biology and machine learning applications.