このコースについて
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初級レベル

約15時間で修了

英語

字幕:英語, 中国語(簡体)

習得するスキル

AlgorithmsPython ProgrammingWhole Genome SequencingDynamic Programming

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

初級レベル

約15時間で修了

英語

字幕:英語, 中国語(簡体)

シラバス - 本コースの学習内容

1
4時間で修了

Week 1: Introduction to Genome Sequencing

<p>Welcome to class!</p><p>This course will focus on two questions at the forefront of modern computational biology, along with the algorithmic approaches we will use to solve them in parentheses:</p><ol><li>Weeks 1-2: How Do We Assemble Genomes? (<i>Graph Algorithms</i>)</li><li>How Do We Sequence Antibiotics? (<i>Brute Force Algorithms</i>)</li></ol><p>Each of the two chapters of content in the class is accompanied by a Bioinformatics Cartoon created by talented San Diego 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. What does a time machine trip to 1735, a stack of newspapers, a jigsaw puzzle, and a giant ant invading a riverside city have to do with putting together a genome? Start learning today to find out!</p><p><img src="https://d396qusza40orc.cloudfront.net/bioinformatics%2Fimages%2Fchapter4_final_lr.jpg" title="Image: https://d396qusza40orc.cloudfront.net/bioinformatics%2Fimages%2Fchapter4_final_lr.jpg" width="528"></p>...
8件のビデオ (合計36分), 2 readings, 3 quizzes
8件のビデオ
FIELD TRIP!4 分
What Is Genome Sequencing?6 分
Exploding Newspapers4 分
The String Reconstruction Problem3 分
String Reconstruction as a Hamiltonian Path Problem3 分
String Reconstruction as an Eulerian Path Problem5 分
Similar Problems with Different Fates 3 分
2件の学習用教材
Course Details10 分
Week 1 FAQs (Optional)
1の練習問題
Week 1 Quiz15 分
2
3時間で修了

Week 2: Applying Euler's Theorem to Assemble Genomes

<p>Welcome to Week 2 of class!</p> <p>This week in class, we will see how a 300 year-old mathematical theorem will help us assemble a genome from millions of tiny pieces of DNA.</p>...
5件のビデオ (合計28分), 1 reading, 3 quizzes
5件のビデオ
Euler's Theorem 6 分
Assembling Read-Pairs 8 分
De Bruijn Graphs Face Harsh Realities of Assembly 4 分
Returning to Konigsberg 1 分
1件の学習用教材
Week 2 FAQs (Optional)
1の練習問題
Week 2 Quiz15 分
3
4時間で修了

Week 3: Sequencing Antibiotics

<p>Welcome to Week 3 of class!</p> <p>This week, we begin a new chapter, titled "How Do We Sequence Antibiotics?" &nbsp;In this chapter, we will learn&nbsp;how to determine the amino acid sequences making up antibiotics using brute force algorithms.</p> <p>Below is this week's Bioinformatics Cartoon.</p> <p><img src="https://d396qusza40orc.cloudfront.net/bioinformatics%2Fimages%2Fchapter2_final.jpg" title="Image: https://d396qusza40orc.cloudfront.net/bioinformatics%2Fimages%2Fchapter2_final.jpg" width="528"></p>...
5件のビデオ (合計27分), 1 reading, 3 quizzes
5件のビデオ
How Do Bacteria Make Antibiotics? 8 分
Sequencing Antibiotics by Shattering Them into Pieces 4 分
A Brute Force Algorithm for Cyclopeptide Sequencing 3 分
Cyclopeptide Sequencing with Branch and Bound 6 分
1件の学習用教材
Week 3 FAQs (Optional)
1の練習問題
Week 3 Quiz15 分
4
3時間で修了

Week 4: From Ideal to Real Spectra for Antibiotics Sequencing

<p>Welcome to Week 4 of class!</p> <p>Last week, we discussed how to sequence an antibiotic peptide from an ideal spectrum. This week, we will see how to develop more sophisticated algorithms for antibiotic peptide sequencing that are able to handle spectra with many false and missing masses.</p>...
4件のビデオ (合計18分), 1 reading, 3 quizzes
4件のビデオ
From 20 to More than 100 Amino Acids 2 分
The Spectral Convolution Saves the Day 6 分
The Truth About Spectra 2 分
1件の学習用教材
Week 4 FAQs (Optional)
1の練習問題
Week 4 Quiz15 分
4.7
39件のレビューChevron Right

33%

コース終了後に新しいキャリアをスタートした

25%

コースが具体的なキャリアアップにつながった

人気のレビュー

by 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.

by 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

カリフォルニア大学サンディエゴ校について

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....

バイオインフォマティクスの専門講座について

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!...
バイオインフォマティクス

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