Bioinformatics Algorithms (Part 2)

开始时间: 04/22/2022 持续时间: 10 weeks

所在平台: CourseraArchive

课程类别: 计算机科学

大学或机构: University of California, San Diego （加州大学圣地亚哥分校）

授课老师： Pavel Pevzner Phillip E. C. Compeau

课程主页: https://www.coursera.org/course/bioinformatics2

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课程详情

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.

课程大纲

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:

Which Animal Gave Us SARS? (Evolutionary Trees)
How Do We Locate Disease-Causing Mutations? (Combinatorial Pattern Matching)
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)
What Genetic Characteristics Do Human Populations Share? (Principal Components Analysis)

The grading for the course will be based on several weekly programming challenges, as well as a comprehension quiz at the end of each chapter.

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课程简介

This is the second course in a two-part series on bioinformatics algorithms, covering the following topics: evolutionary tree reconstruction, applications of combinatorial pattern matching for read mapping, gene regulatory analysis, protein classification, computational proteomics, and computational aspects of human genetics.