課程信息
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第 2 門課程(共 7 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

初級

完成時間大約為17 小時

英語(English)

字幕:英語(English), 巴西葡萄牙語, 中文(簡體)

您將獲得的技能

AlgorithmsPython ProgrammingWhole Genome SequencingDynamic Programming

第 2 門課程(共 7 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

初級

完成時間大約為17 小時

英語(English)

字幕:英語(English), 巴西葡萄牙語, 中文(簡體)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 4 小時

Week 1: Introduction to Genome Sequencing

8 個視頻 (總計 36 分鐘), 2 個閱讀材料, 3 個測驗
8 個視頻
FIELD TRIP!4分鐘
What Is Genome Sequencing?6分鐘
Exploding Newspapers4分鐘
The String Reconstruction Problem3分鐘
String Reconstruction as a Hamiltonian Path Problem3分鐘
String Reconstruction as an Eulerian Path Problem5分鐘
Similar Problems with Different Fates 3分鐘
2 個閱讀材料
Course Details10分鐘
Week 1 FAQs (Optional)
1 個練習
Week 1 Quiz15分鐘
2
完成時間為 3 小時

Week 2: Applying Euler's Theorem to Assemble Genomes

5 個視頻 (總計 28 分鐘), 1 個閱讀材料, 3 個測驗
5 個視頻
Euler's Theorem 6分鐘
Assembling Read-Pairs 8分鐘
De Bruijn Graphs Face Harsh Realities of Assembly 4分鐘
Returning to Konigsberg 1分鐘
1 個閱讀材料
Week 2 FAQs (Optional)
1 個練習
Week 2 Quiz15分鐘
3
完成時間為 4 小時

Week 3: Sequencing Antibiotics

5 個視頻 (總計 27 分鐘), 1 個閱讀材料, 3 個測驗
5 個視頻
How Do Bacteria Make Antibiotics? 8分鐘
Sequencing Antibiotics by Shattering Them into Pieces 4分鐘
A Brute Force Algorithm for Cyclopeptide Sequencing 3分鐘
Cyclopeptide Sequencing with Branch and Bound 6分鐘
1 個閱讀材料
Week 3 FAQs (Optional)
1 個練習
Week 3 Quiz15分鐘
4
完成時間為 3 小時

Week 4: From Ideal to Real Spectra for Antibiotics Sequencing

4 個視頻 (總計 18 分鐘), 1 個閱讀材料, 3 個測驗
4 個視頻
From 20 to More than 100 Amino Acids 2分鐘
The Spectral Convolution Saves the Day 6分鐘
The Truth About Spectra 2分鐘
1 個閱讀材料
Week 4 FAQs (Optional)
1 個練習
Week 4 Quiz15分鐘
4.7
44 個審閱Chevron Right

20%

完成這些課程後已開始新的職業生涯

17%

通過此課程獲得實實在在的工作福利

來自基因组测序(生物信息学 II)的熱門評論

創建者 SVJan 10th 2017

Great course to explore a bit of Bioinformatics for those with no background in Bioinformatics. I love the way the content has been provided, its interactivity increases the interest in the course.

創建者 MPDec 8th 2017

I like the real-world tasks, especially the assembly on the final exam. Some of the programming tasks, such as the antibiotic noisy spectrum assembly, are challenging (which is good).

講師

Avatar

Pavel Pevzner

Professor
Department of Computer Science and Engineering
Avatar

Phillip Compeau

Visiting Researcher
Department of Computer Science & Engineering

關於 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....

關於 生物信息学 專項課程

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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