In previous courses in the Specialization, we have discussed how to sequence and compare genomes. This course will cover advanced topics in finding mutations lurking within DNA and proteins.
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第 6 门课程（共 7 门）
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初级
完成时间大约为21 小时
英语（English）
字幕：英语（English）
教学大纲 - 您将从这门课程中学到什么
完成时间为 4 小时
Week 1: Introduction to Read Mapping
<p>Welcome to our class! We are glad that you decided to join us.</p><p>In this class, we will consider the following two central biological questions (the computational approaches needed to solve them are shown in parentheses):</p><ol><li>How Do We Locate Disease-Causing Mutations? (<em>Combinatorial Pattern Matching</em>)</li><li>Why Have Biologists Still Not Developed an HIV Vaccine? (<em>Hidden Markov Models</em>)</li></ol><p>As in previous courses, each of these two chapters is accompanied by a Bioinformatics Cartoon created by talented artist Randall Christopher and serving as a chapter header in the Specialization's bestselling <a href="http://bioinformaticsalgorithms.com" target="_blank">print companion</a>. You can find the first chapter's cartoon at the bottom of this message. </p><p><img src="https://stepic.org/media/attachments/lessons/292/chapter7_cropped.jpg" title="Image: https://stepic.org/media/attachments/lessons/292/chapter7_cropped.jpg" width="528"></p>
完成时间为 4 小时
4 个视频 （总计 33 分钟）, 2 个阅读材料, 3 个测验
4 个视频
Why Do We Map Reads? 7分钟
Using the Trie 10分钟
From a Trie to a Suffix Tree 11分钟
2 个阅读材料
Course Details10分钟
Week 1 FAQs (Optional)
1 个练习
How Do We Find Disease-Causing Mutations? (Week 1)15分钟
完成时间为 4 小时
Week 2: The Burrows-Wheeler Transform
<p>Welcome to week 2 of the class!</p>
完成时间为 4 小时
3 个视频 （总计 21 分钟）, 1 个阅读材料, 2 个测验
3 个视频
Inverting Burrows-Wheeler 13分钟
Using Burrows-Wheeler for Pattern Matching 2分钟
1 个阅读材料
Week 2 FAQs (Optional)
完成时间为 4 小时
Week 3: Speeding Up Burrows-Wheeler Read Mapping
<p>Welcome to week 3 of class!</p>
完成时间为 4 小时
4 个视频 （总计 22 分钟）, 1 个阅读材料, 3 个测验
4 个视频
Setting Up Checkpoints 8分钟
Inexact Matching 6分钟
Further Applications of Read Mapping 2分钟
1 个阅读材料
Week 3 FAQs (Optional)
1 个练习
How Do We Find Disease-Causing Mutations? (Weeks 2-3)20分钟
完成时间为 4 小时
Week 4: Introduction to Hidden Markov Models
<p>Welcome to week 4 of class!</p>
完成时间为 4 小时
5 个视频 （总计 42 分钟）
5 个视频
Gambling with Yakuza 12分钟
From a Crooked Casino to a Hidden Markov Model 9分钟
The Decoding Problem 5分钟
The Viterbi Algorithm 7分钟
审阅
4.6
来自发现 DNA 和蛋白质的突变（生物信息学 VI）的热门评论
由 TK 提供Jun 28, 2016
One of the best specialization on Coursera. Highly recommended for anyone who wants to apply his/her programming skills to fascinating real-world problems.
由 DC 提供Sep 15, 2018
Really enjoyed this course. It was great to get to build on work from previous courses.
由 ZX 提供Jul 20, 2019
In depth and comprehensive coverage of the topics in genetic data analysis.
关于 加州大学圣地亚哥分校
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.
关于 生物信息学 专项课程
Join Us in a Top 50 MOOC of All Time!
How do we sequence and compare genomes? How do we identify the genetic basis for disease? How do we construct an evolutionary Tree of Life for all species on Earth?
When you complete this Specialization, you will learn how to answer many questions in modern biology that have become inseparable from the computational approaches used to solve them. You will also obtain a toolkit of existing software resources built on these computational approaches and that are used by thousands of biologists every day in one of the fastest growing fields in science.
Although this Specialization centers on computational topics, you do not need to know how to program in order to complete it. If you are interested in programming, we feature an "Honors Track" (called "hacker track" in previous runs of the course). The Honors Track allows you to implement the bioinformatics algorithms that you will encounter along the way in dozens of automatically graded coding challenges. By completing the Honors Track, you will be a bioinformatics software professional!
Learn more about the Bioinformatics Specialization (including why we are wearing these crazy outfits) by watching our introductory video.
You can purchase the Specialization's print companion, Bioinformatics Algorithms: An Active Learning Approach, from the textbook website.
Our first course, "Finding Hidden Messages in DNA", was named a top-50 MOOC of all time by Class Central!
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