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

Pavel  Pevzner
Phillip Compeau

Instructors: Pavel Pevzner

112,236 already enrolled

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
4.3

(1,019 reviews)

Intermediate level
Some related experience required
Flexible schedule
Approx. 15 hours
Learn at your own pace
91%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.3

(1,019 reviews)

Intermediate level
Some related experience required
Flexible schedule
Approx. 15 hours
Learn at your own pace
91%
Most learners liked this course

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Placeholder

Build your subject-matter expertise

This course is part of the Bioinformatics Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

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 assignment2 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 assignment2 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 assignment2 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 assignment2 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 (136 ratings)
Pavel  Pevzner
University of California San Diego
16 Courses830,867 learners
Phillip Compeau
University of California San Diego
8 Courses286,835 learners

Offered by

Recommended if you're interested in Health Informatics

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

4.3

1,019 reviews

  • 5 stars

    64.54%

  • 4 stars

    20.76%

  • 3 stars

    4.01%

  • 2 stars

    3.23%

  • 1 star

    7.44%

Showing 3 of 1019

QL
5

Reviewed on Jul 26, 2017

JN
5

Reviewed on Sep 22, 2020

VK
5

Reviewed on Apr 12, 2020

New to Health Informatics? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions