Über diesen Kurs
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Ca. 14 Stunden zum Abschließen

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Englisch

Untertitel: Englisch

Kompetenzen, die Sie erwerben

BioinformaticsBioinformatics AlgorithmsAlgorithmsPython Programming

100 % online

Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.

Flexible Fristen

Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.

Stufe „Anfänger“

Ca. 14 Stunden zum Abschließen

Empfohlen: 4-10 hours/week...

Englisch

Untertitel: Englisch

Lehrplan - Was Sie in diesem Kurs lernen werden

Woche
1
3 Stunden zum Abschließen

Week 1: Welcome!

<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: Where in the Genome Does DNA Replication Begin? (<em>Algorithmic Warmup</em>)</li><li>Weeks 3-4: Which DNA Patterns Play the Role of Molecular Clocks? (<em>Randomized Algorithms</em>)</li></ol><p>Week 5 will consist of a Bioinformatics Application Challenge in which you will get to apply software for finding DNA motifs to a real biological dataset.</p><p>Each of the two chapters in the course is accompanied by a Bioinformatics Cartoon created by 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 cryptic message leading to buried treasure have to do with biology? We hope you will join us to find out!</p><p><img src="http://bioinformaticsalgorithms.com/images/cover/replication_cropped.jpg" title="Image: http://bioinformaticsalgorithms.com/images/cover/chapter1_cropped.jpg" width="500"></p><p><a href="http://compeau.cbd.cmu.edu" target="_blank"><img src="http://bioinformaticsalgorithms.com/images/Compeau_caricature.jpg" width ="150"></a> <a href="http://cseweb.ucsd.edu/~ppevzner/" target="_blank"><img src="http://bioinformaticsalgorithms.com/images/Pevzner_caricature.jpg" width ="150"></a></p><p>Phillip and Pavel</p>

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3 Videos (Gesamt 21 min), 3 Lektüren, 3 Quiz
3 Videos
Where in the Genome Does DNA Replication Begin? (Part 1) (11:37)11m
Where in the Genome Does DNA Replication Begin? (Part 2) (06:24)6m
3 Lektüren
Course Details10m
Week 1 FAQs (Optional)
What is Pseudocode? (Optional)1m
1 praktische Übung
Week 1 Quiz15m
Woche
2
3 Stunden zum Abschließen

Week 2: Finding Replication Origins

<p>Welcome to Week 2 of class!</p> <p>This week, we will examine the biological details of how DNA replication is carried out in the cell. We will then see how to use these details to help us design an intelligent algorithmic approach looking for the replication origin in a bacterial genome.</p>

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2 Videos (Gesamt 13 min), 1 Lektüre, 3 Quiz
2 Videos
Where in the Genome Does DNA Replication Begin? (Part 4) (04:10)4m
1 Lektüre
Week 2 FAQs (Optional)
1 praktische Übung
Week 2 Quiz15m
Woche
3
4 Stunden zum Abschließen

Week 3: Hunting for Regulatory Motifs

<p>Welcome to Week 3 of class!</p> <p>This week, we begin a new chapter, titled "Which DNA Patterns Play the Role of Molecular Clocks?" At the bottom of this message is this week's Bioinformatics Cartoon. &nbsp;What does a late night casino trip with two 18th Century French mathematicians have in common with finding molecular clocks? &nbsp;Start learning to find out...</p> <p><img src="https://d396qusza40orc.cloudfront.net/bioinformatics%2Fimages%2Fchapter3_final.jpg" title="Image: https://d396qusza40orc.cloudfront.net/bioinformatics%2Fimages%2Fchapter3_final.jpg" width="528"></p>

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3 Videos (Gesamt 23 min), 1 Lektüre, 3 Quiz
3 Videos
From Implanted Patterns to Regulatory Motifs (Part 2) (05:06)5m
From Implanted Patterns to Regulatory Motifs (Part 3) (07:22)7m
1 Lektüre
Week 3 FAQs (Optional)
1 praktische Übung
Week 3 Quiz15m
Woche
4
3 Stunden zum Abschließen

Week 4: How Rolling Dice Helps Us Find Regulatory Motifs

<p>Welcome to Week 4 of class!</p> <p>Last week, we encountered a few introductory motif-finding algorithms. This week, we will see how to improve upon these motif-finding approaches by designing randomized algorithms that can "roll dice" to find motifs.</p>

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3 Videos (Gesamt 26 min), 1 Lektüre, 3 Quiz
3 Videos
How Rolling Dice Helps Us Find Regulatory Motifs (Part 2) (05:37)5m
How Rolling Dice Helps Us Find Regulatory Motifs (Part 3) (07:46)7m
1 Lektüre
Week 4 FAQs (Optional)
1 praktische Übung
Week 4 Quiz15m
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Top reviews from Finding Hidden Messages in DNA (Bioinformatics I)

von JLJul 30th 2018

This course is very very good. Challenging at times. It does not hold your hand at all times and sometimes requires research to solve some of the problems, but I like the community and the approach.

von LLNov 13th 2017

Very tough but rewarding class. The programming part was easy, the algorithms kicked my butt. Love the challenge and can't wait to take the rest!!! Such an interesting field!

Dozenten

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Pavel Pevzner

Professor
Department of Computer Science and Engineering
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Phillip Compeau

Visiting Researcher
Department of Computer Science & Engineering

Über University of California San Diego

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....

Über die Spezialisierung Bioinformatik

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!...
Bioinformatik

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