University of California San Diego
Genome Sequencing (Bioinformatics II)
University of California San Diego

Genome Sequencing (Bioinformatics II)

This course is part of Bioinformatics Specialization

Taught in English

Some content may not be translated

Pavel  Pevzner
Phillip Compeau

Instructors: Pavel Pevzner

30,948 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.6

(308 reviews)

Intermediate level
Some related experience required
17 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

4.6

(308 reviews)

Intermediate level
Some related experience required
17 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: 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>

What's included

8 videos2 readings1 quiz2 app items

<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>

What's included

5 videos1 reading1 quiz2 app items

<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>

What's included

5 videos1 reading1 quiz2 app items

<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>

What's included

4 videos1 reading1 quiz2 app items

Welcome to Week 5 of class! This week, we will see how to apply genome assembly tools to sequencing data from a dangerous pathogenic bacterium.

What's included

1 peer review

Instructors

Instructor ratings
4.7 (23 ratings)
Pavel  Pevzner
University of California San Diego
16 Courses805,647 learners
Phillip Compeau
University of California San Diego
8 Courses273,813 learners

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4.6

308 reviews

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RP
5

Reviewed on Aug 23, 2019

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5

Reviewed on Jul 20, 2019

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5

Reviewed on Jul 24, 2017

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