Bioinformatics Algorithms (Part 2)
Offered By: University of California, San Diego via Coursera
Course Description
Overview
This course is the second in a two-part series that begins with Bioinformatics Algorithms (Part 1). It will build upon the biological and computational material covered in the first course to cover additional topics in modern computational biology.
The format for this course will be the same as that of Part 1. Each chapter of course material will cover a single biological question and slowly build the algorithmic knowledge required to address this challenge. Along the way, coding challenges and exercises (many of which ask you to apply your skills to real genetic data) will be directly integrated into the text at the exact moment they are needed.
Syllabus
The course will be based on six "chapters" covering the following central questions, with the algorithmic ideas that we will use to solve them in parentheses:
- How Do We Locate Disease-Causing Mutations? (Combinatorial Pattern Matching)
- Which Animal Gave Us SARS? (Evolutionary Trees)
- How Did Yeast Become Such a Good Wine Brewer? (Clustering Algorithms)
- Why Do We Still Not Have an HIV Vaccine? (Hldden Markov Models)
- Was T. rex Just a Big Chicken? (Computational Proteomics)
Taught by
Pavel Pevzner and Phillip Compeau
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