This course is part of the Bioinformatics Specialization

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Pavel Pevzner +1 more instructor

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Bioinformatics SpecializationUniversity of California San Diego

About this Course

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How do we infer which genes orchestrate various processes in the cell?  How did humans migrate out of Africa and spread around the world? In this class, we will see that these two seemingly different questions can be addressed using similar algorithmic and machine learning techniques arising from the general problem of dividing data points into distinct clusters.
In the first half of the course, we will introduce algorithms for clustering a group of objects into a collection of clusters based on their similarity, a classic problem in data science, and see how these algorithms can be applied to gene expression data.

In the second half of the course, we will introduce another classic tool in data science called principal components analysis that can be used to preprocess multidimensional data before clustering in an effort to greatly reduce the number dimensions without losing much of the "signal" in the data.

Finally, you will learn how to apply popular bioinformatics software tools to solve a real problem in clustering.

Learner Career Outcomes

33%

got a tangible career benefit from this course

Shareable Certificate

Earn a Certificate upon completion

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Course 5 of 7 in the

Bioinformatics Specialization

Flexible deadlines

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Beginner Level

Approx. 10 hours to complete

English

Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish

Instructors

Pavel Pevzner

Professor

Department of Computer Science and Engineering

543,480 Learners

13 Courses

Phillip Compeau

Visiting Researcher

Department of Computer Science & Engineering

174,656 Learners

8 Courses

Learner Career Outcomes

33%

got a tangible career benefit from this course

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 5 of 7 in the

Bioinformatics Specialization

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 10 hours to complete

English

Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish

Offered by

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.

Syllabus - What you will learn from this course

Week

Week 1

5 hours to complete

Week 1: Introduction to Clustering Algorithms

Welcome to class!At the beginning of the class, we will see how algorithms for clustering a set of data points will help us determine how yeast became such good wine-makers. At the bottom of this email is the Bioinformatics Cartoon for this chapter, courtesy of <a href="http://bearandfox.com" target="_blank" title="Link: http://bearandfox.com">Randall Christopher</a> and serving as a chapter header in the Specialization's bestselling <a href="http://bioinformaticsalgorithms.com" target="_blank">print companion</a>. How did the monkey lose a wine-drinking contest to a tiny mammal?  Why have Pavel and Phillip become cavemen? And will flipping a coin help them escape their eternal boredom until they can return to the present? Start learning to find out!<img width="550" alt="" src="http://bioinformaticsalgorithms.com/images/cover/clustering_cropped.jpg" title="Image: http://bioinformaticsalgorithms.com/images/cover/clustering_cropped.jpg">

5 hours to complete

5 videos (Total 33 min), 2 readings, 3 quizzes

Week

Week 2

4 hours to complete

Week 2: Advanced Clustering Techniques

Welcome to week 2 of class!

This week, we will see how we can move from a "hard" assignment of points to clusters toward a "soft" assignment that allows the boundaries of the clusters to blend. We will also see how to adapt the Lloyd algorithm that we encountered in the first week in order to produce an algorithm for soft clustering. We will also see another clustering algorithm called "hierarchical clustering" that groups objects into larger and larger clusters.

4 hours to complete

5 videos (Total 35 min), 1 reading, 3 quizzes

Week

Week 3

1 hour to complete

Week 3: Introductory Algorithms in Population Genetics

1 hour to complete

2 readings

Reviews

4.2

20 reviews

5 stars
54.21%
4 stars
27.71%
3 stars
9.63%
2 stars
3.61%
1 star
4.81%

TOP REVIEWS FROM GENOMIC DATA SCIENCE AND CLUSTERING (BIOINFORMATICS V)

by DDOct 23, 2019

Truly awesome. What I liked best was that this course didn't have a peer reviewed final challenge, so I didn't have to wait months until my work was graded :)

by QWMay 21, 2017

The first two week was very good, but for week 3 I don't see the content has any connection with Genomic Data Science.

by JMMar 21, 2020

Really enjoyed the clustering chapters and the practical exercises with the yeast dataset

by ZXJul 20, 2019

In depth and comprehensive coverage of the topics in genetic data analysis.

View all reviews

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!

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
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.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
Will I earn university credit for completing the Course?
This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

More questions? Visit the Learner Help Center.

Genomic Data Science and Clustering (Bioinformatics V)

About this Course

Learner Career Outcomes

33%

Instructors

Pavel Pevzner

Phillip Compeau

Learner Career Outcomes

33%

Offered by

University of California San Diego

Syllabus - What you will learn from this course

Week 1

Week 1: Introduction to Clustering Algorithms

Week 2

Week 2: Advanced Clustering Techniques

Week 3

Week 3: Introductory Algorithms in Population Genetics

Reviews

TOP REVIEWS FROM GENOMIC DATA SCIENCE AND CLUSTERING (BIOINFORMATICS V)

About the Bioinformatics Specialization

Frequently Asked Questions

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Genomic Data Science and Clustering (Bioinformatics V)

About this Course

Learner Career Outcomes

33%

Instructors

Pavel Pevzner

Phillip Compeau

Learner Career Outcomes

33%

Offered by

University of California San Diego

Syllabus - What you will learn from this course

Week 1

Week 1: Introduction to Clustering Algorithms

Week 2

Week 2: Advanced Clustering Techniques

Week 3

Week 3: Introductory Algorithms in Population Genetics

Reviews

TOP REVIEWS FROM GENOMIC DATA SCIENCE AND CLUSTERING (BIOINFORMATICS V)

About the Bioinformatics Specialization

Frequently Asked Questions

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