Algorithms in Computational Biology
The principles of algorithm design for biological datasets, and analysis of influential problems and techniques. Biological sequence analysis, gene finding, RNA folding, protein folding, sequence alignment, genome assembly, comparative genomics, phylogenetics, clustering algorithms.
The books are not required. Some materials will be provided in class.
There will be no final exam. Projects and their presentations will be instead.