About this Course
4.7
367 ratings
81 reviews
Specialization

Course 1 of 7 in the

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100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Beginner Level

Beginner Level

Hours to complete

Approx. 13 hours to complete

Suggested: 4-10 hours/week...
Available languages

English

Subtitles: English...

Skills you will gain

BioinformaticsBioinformatics AlgorithmsAlgorithmsPython Programming
Specialization

Course 1 of 7 in the

100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Beginner Level

Beginner Level

Hours to complete

Approx. 13 hours to complete

Suggested: 4-10 hours/week...
Available languages

English

Subtitles: English...

Syllabus - What you will learn from this course

Week
1
Hours to complete
3 hours to complete

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>...
Reading
3 videos (Total 21 min), 3 readings, 3 quizzes
Video3 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
Reading3 readings
Course Details10m
Week 1 FAQs (Optional)m
What is Pseudocode? (Optional)1m
Quiz1 practice exercise
Week 1 Quiz15m
Week
2
Hours to complete
3 hours to complete

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>...
Reading
2 videos (Total 13 min), 1 reading, 3 quizzes
Video2 videos
Where in the Genome Does DNA Replication Begin? (Part 4) (04:10)4m
Reading1 reading
Week 2 FAQs (Optional)m
Quiz1 practice exercise
Week 2 Quiz15m
Week
3
Hours to complete
4 hours to complete

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>...
Reading
3 videos (Total 23 min), 1 reading, 3 quizzes
Video3 videos
From Implanted Patterns to Regulatory Motifs (Part 2) (05:06)5m
From Implanted Patterns to Regulatory Motifs (Part 3) (07:22)7m
Reading1 reading
Week 3 FAQs (Optional)m
Quiz1 practice exercise
Week 3 Quiz15m
Week
4
Hours to complete
3 hours to complete

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>...
Reading
3 videos (Total 26 min), 1 reading, 3 quizzes
Video3 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
Reading1 reading
Week 4 FAQs (Optional)m
Quiz1 practice exercise
Week 4 Quiz15m
4.7
Career direction

33%

started a new career after completing these courses
Career Benefit

83%

got a tangible career benefit from this course

Top Reviews

By 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!

By MPDec 4th 2017

Nice and recommended.\n\n(The final exam was a bit tedious though, with many points repeatedly given simply for "uploading the logo" and not much creative leeway)

Instructors

Avatar

Pavel Pevzner

Professor
Department of Computer Science and Engineering
Avatar

Phillip Compeau

Visiting Researcher
Department of Computer Science & Engineering

About 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....

About the Bioinformatics Specialization

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!...
Bioinformatics

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.