课程信息
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Learner Career Outcomes

33%

完成这些课程后已开始新的职业生涯

33%

通过此课程获得实实在在的工作福利

第 7 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15 小时

建议:3 weeks of study, 3-4 hours/week...

英语(English)

字幕:英语(English)

Learner Career Outcomes

33%

完成这些课程后已开始新的职业生涯

33%

通过此课程获得实实在在的工作福利

第 7 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15 小时

建议:3 weeks of study, 3-4 hours/week...

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 5 小时

Week 1: Identifying the Culprit in a Food Poisoning Outbreak

4 个阅读材料, 1 个测验
4 个阅读材料
Welcome to Class!10分钟
Special Thanks2分钟
Introduction15分钟
Databases and Tools5分钟
2
完成时间为 4 小时

Week 2: Comparing Gene Expression in Tissue Samples with RNA-Seq

2 个阅读材料, 1 个测验
2 个阅读材料
Introduction15分钟
Databases and Tools5分钟
3
完成时间为 5 小时

Week 3: Weighing the Pros and Cons of Whole Genome and Whole Exome Sequencing on a Human Sample

4 个阅读材料, 1 个测验
4 个阅读材料
Introduction15分钟
Databases and Tools10分钟
Walkthroughs15分钟
Reading: Part 3 FAQs
4.6
4 条评论Chevron Right

来自Bioinformatics Capstone: Big Data in Biology的热门评论

创建者 KASep 4th 2019

I hope that the links to access data in the peer graded assignments gets fixed soon!

讲师

Avatar

Phillip Compeau

Visiting Researcher
Department of Computer Science & Engineering
Avatar

Pavel Pevzner

Professor
Department of Computer Science and 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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