课程信息
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第 6 门课程(共 7 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

初级

完成时间大约为19 小时

英语(English)

字幕:英语(English)

第 6 门课程(共 7 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

初级

完成时间大约为19 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

1
完成时间为 4 小时

Week 1: Introduction to Read Mapping

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
2
完成时间为 4 小时

Week 2: The Burrows-Wheeler Transform

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)
3
完成时间为 4 小时

Week 3: Speeding Up Burrows-Wheeler Read Mapping

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
4
完成时间为 4 小时

Week 4: Introduction to Hidden Markov Models

5 个视频 (总计 42 分钟), 2 个测验
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
4.6
7 个审阅Chevron Right

来自发现 DNA 和蛋白质的突变(生物信息学 VI)的热门评论

创建者 TKJun 29th 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.

创建者 DCSep 16th 2018

Really enjoyed this course. It was great to get to build on work from previous courses.

讲师

Avatar

Pavel Pevzner

Professor
Department of Computer Science and Engineering
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Phillip Compeau

Visiting Researcher
Department of Computer Science & Engineering

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!...
生物信息学

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