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.
This course is part of the Bioinformatics Specialization
Genomic Data Science and Clustering (Bioinformatics V)
Offered By
About this Course
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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
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 9 hours to complete
English
Subtitles: English
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
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 9 hours to complete
English
Subtitles: English
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
5 hours to complete
Week 1: Introduction to Clustering Algorithms
<p>Welcome to class!</p><p>At the beginning of the class, we will see how algorithms for <strong>clustering </strong>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!</p><p><img width="550" alt="" src="http://bioinformaticsalgorithms.com/images/cover/clustering_cropped.jpg" title="Image: http://bioinformaticsalgorithms.com/images/cover/clustering_cropped.jpg"></p>
5 hours to complete
5 videos (Total 33 min), 2 readings, 3 quizzes
5 videos
Which Yeast Genes are Responsible for Wine Making? 6m
Gene Expression Matrices 6m
Clustering as an Optimization Problem 10m
The Lloyd Algorithm for k-Means Clustering 5m
2 readings
Course Details10m
Week 1 FAQs (Optional)
1 practice exercise
Week 1 Quiz20m
4 hours to complete
Week 2: Advanced Clustering Techniques
<p>Welcome to week 2 of class!</p>
4 hours to complete
5 videos (Total 35 min), 1 reading, 3 quizzes
5 videos
From Coin Flipping to k-Means Clustering 4m
Expectation Maximization 7m
Soft k-Means Clustering 3m
Hierarchical Clustering 7m
1 reading
Week 2 FAQs (Optional)
1 practice exercise
Week 2 Quiz15m
1 hour to complete
Week 3: Introductory Algorithms in Population Genetics
1 hour to complete
2 readings
2 readings
Statement on This Week's Material10m
How Have Humans Populated the Earth?10m
1 practice exercise
Week 3 Quiz10m
Reviews
4.3
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 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.
by MKNov 10, 2018
Absolutely fantastic course. Kudos to the course creators.
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?
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.
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.
What is the refund policy?
Is financial aid available?
More questions? Visit the Learner Help Center.
