Genome Sequencing (Bioinformatics II)
University of California, San Diego via Coursera
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Overview
Syllabus
- Week 1: Introduction to Genome Sequencing
Welcome to class!
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:
- Weeks 1-2: How Do We Assemble Genomes? (Graph Algorithms)
- How Do We Sequence Antibiotics? (Brute Force Algorithms)
Each of the two chapters of content in the class is accompanied by a Bioinformatics Cartoon created by talented San Diego artist Randall Christopher and serving as a chapter header in the Specialization's bestselling print companion. You can find the first chapter's cartoon at the bottom of this message. What does a time machine trip to 1735, a stack of newspapers, a jigsaw puzzle, and a giant ant invading a riverside city have to do with putting together a genome? Start learning today to find out!
- Week 2: Applying Euler's Theorem to Assemble Genomes
Welcome to Week 2 of class!
This week in class, we will see how a 300 year-old mathematical theorem will help us assemble a genome from millions of tiny pieces of DNA.
- Week 3: Sequencing Antibiotics
Welcome to Week 3 of class!
This week, we begin a new chapter, titled "How Do We Sequence Antibiotics?" In this chapter, we will learn how to determine the amino acid sequences making up antibiotics using brute force algorithms.
Below is this week's Bioinformatics Cartoon.
- Week 4: From Ideal to Real Spectra for Antibiotics Sequencing
Welcome to Week 4 of class!
Last week, we discussed how to sequence an antibiotic peptide from an ideal spectrum. This week, we will see how to develop more sophisticated algorithms for antibiotic peptide sequencing that are able to handle spectra with many false and missing masses.
- Week 5: Bioinformatics Application Challenge!
- Welcome to Week 5 of class! This week, we will see how to apply genome assembly tools to sequencing data from a dangerous pathogenic bacterium.
Taught by
Pavel Pevzner and Phillip Compeau
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Reviews
5.0 rating, based on 5 Class Central reviews
4.6 rating at Coursera based on 312 ratings
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Great training in logic thinking. I was a scientist with almost no programming experience going into the class. It helped me a great deal in understanding and using various data structures and was especially helpful in training me to think about code performance all the time. I struggled a lot at the beginning, but it was a very rewarding experience in the end. I recommend it for any biologist interested in learning programming, not necessarily just for bioinformatics.
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"All the achievements I have grabbed were all given by the faculties who showered their blessings and education on me .. Without expecting anything in return you have always been a great guide to us.. Thanks a lot for your guidance.. You have been the best faculties ever and thanks for sla for making me a good person