University of California San Diego
Finding Mutations in DNA and Proteins (Bioinformatics VI)
University of California San Diego

Finding Mutations in DNA and Proteins (Bioinformatics VI)

This course is part of Bioinformatics Specialization

Pavel  Pevzner
Phillip Compeau

Instructors: Pavel Pevzner

15,864 already enrolled

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
4.7

(59 reviews)

Intermediate level
Some related experience required
23 hours to complete
3 weeks at 7 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.7

(59 reviews)

Intermediate level
Some related experience required
23 hours to complete
3 weeks at 7 hours a week
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

3 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 6 modules in this course

<p>Welcome to our class! We are glad that you decided to join us.</p><p>In this class, we will consider the following two central biological&nbsp;questions (the computational approaches needed to solve them are shown in parentheses):</p><ol><li>How Do We Locate Disease-Causing Mutations? (<em>Combinatorial Pattern Matching</em>)</li><li>Why Have Biologists Still Not Developed an HIV Vaccine?&nbsp;(<em>Hidden Markov Models</em>)</li></ol><p>As in previous courses, each of these two chapters is accompanied by a Bioinformatics Cartoon created by talented 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. </p><p><img src="https://stepic.org/media/attachments/lessons/292/chapter7_cropped.jpg" title="Image: https://stepic.org/media/attachments/lessons/292/chapter7_cropped.jpg" width="528"></p>

What's included

4 videos2 readings1 assignment2 app items

<p>Welcome to week 2 of the class!</p> <p>This week, we will introduce a paradigm called the Burrows-Wheeler transform; after seeing how it can be used in string compression, we will demonstrate that it is also the foundation of modern read-mapping algorithms.</p>

What's included

3 videos1 reading2 app items

<p>Welcome to week 3 of class!</p> <p>Last week, we saw how the Burrows-Wheeler transform could be applied to multiple pattern matching. This week, we will speed up our algorithm and generalize it to the case that patterns have errors, which models the biological problem of mapping reads with errors to a reference genome.</p>

What's included

4 videos1 reading1 assignment2 app items

<p>Welcome to week 4 of class!</p> <p>This week, we will start examining the case of aligning sequences with many mutations -- such as related genes from different HIV strains -- and see that our problem formulation for sequence alignment is not adequate for highly diverged sequences.</p> <p>To improve our algorithms, we will introduce a machine-learning paradigm called a hidden Markov model and see how dynamic programming helps us answer questions about these models.</p>

What's included

5 videos2 app items

<p>Welcome to week 5 of class!</p> <p>Last week, we introduced hidden Markov models. This week, we will see how hidden Markov models can be applied to sequence alignment with a profile HMM. We will then consider some advanced topics in this area, which are related to advanced methods that we considered in a previous course for clustering.</p>

What's included

5 videos1 reading1 assignment2 app items

<p>Welcome to the sixth and final week of class!</p> <p>This week brings our Application Challenge, in which we apply the HMM sequence alignment algorithms that we have developed.</p>

What's included

1 peer review

Instructors

Pavel  Pevzner
University of California San Diego
16 Courses823,661 learners
Phillip Compeau
University of California San Diego
8 Courses282,617 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

Showing 3 of 59

4.7

59 reviews

  • 5 stars

    72.88%

  • 4 stars

    23.72%

  • 3 stars

    1.69%

  • 2 stars

    1.69%

  • 1 star

    0%

TK
5

Reviewed on Jun 28, 2016

SC
5

Reviewed on Jun 30, 2020

ZX
5

Reviewed on Jul 20, 2019

New to Health Informatics? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ 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