University of California San Diego
Finding Hidden Messages in DNA (Bioinformatics I)
University of California San Diego

Finding Hidden Messages in DNA (Bioinformatics I)

This course is part of Bioinformatics Specialization

Taught in English

Some content may not be translated

Pavel  Pevzner
Phillip Compeau

Instructors: Pavel Pevzner

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Course

Gain insight into a topic and learn the fundamentals

4.3

(997 reviews)

|

91%

Intermediate level
Some related experience required
15 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

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Assessments

4 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.3

(997 reviews)

|

91%

Intermediate level
Some related experience required
15 hours (approximately)
Flexible schedule
Learn at your own pace

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This course is part of the Bioinformatics Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 5 modules in this course

<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>

What's included

3 videos3 readings1 quiz2 app items

<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>

What's included

2 videos1 reading1 quiz2 app items

<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>

What's included

3 videos1 reading1 quiz2 app items

<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>

What's included

3 videos1 reading1 quiz2 app items

Welcome to week 5 of the class! This week, we will apply popular motif-finding software in order to hunt for motifs in a real biological dataset.

What's included

1 peer review

Instructors

Instructor ratings
4.2 (131 ratings)
Pavel  Pevzner
University of California San Diego
16 Courses791,211 learners
Phillip Compeau
University of California San Diego
8 Courses268,417 learners

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