Bioinformatics Algorithms (Part 2)
University of California, San Diego via Coursera
Overview
Class Central Tips
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
- 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
Tags
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Reviews
3.8 rating, based on 4 reviews
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Anonymous
Anonymous is taking this course right now.
The authors of this class were not prepared. The class was clearly thrown together at the last minute. The class was scheduled to end June 1st and was pushed back to mid July! Difficult to understand lectures. Get his book and work through the problems or go to Rosalind. Bioinformatics Part 1 is superior, no question. -
Anonymous
Anonymous is taking this course right now.
Class doesn't compare to Part I.
Many errors and inconsistent formats with the grader. Class was put together at the last minute and you can tell. -
Bruno Lehouque completed this course.
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