Pavel Pevzner

Pavel Pevzner is Professor of Computer Science and Engineering at University of California San Diego (UCSD), where he holds the Ronald R. Taylor Chair and has taught a Bioinformatics Algorithms course for the last 12 years. His research concerns the creation of bioinformatics algorithms for analyzing genome rearrangements, DNA sequencing, and computational proteomics.
More info: http://cseweb.ucsd.edu/~ppevzner/

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Genome Sequencing (Bioinformatics II) (Coursera)

You may have heard a lot about genome sequencing and its potential to usher in an era of personalized medicine, but what does it mean to sequence a genome? Biologists still cannot read the nucleotides of an entire genome as you would read a book from beginning to end. [...]
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Finding Hidden Messages in DNA (Bioinformatics I) (Coursera)

This course begins a series of classes illustrating the power of computing in modern biology. Please join us on the frontier of bioinformatics to look for hidden messages in DNA without ever needing to put on a lab coat. In the first half of the course, we investigate DNA [...]
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Average: 6 ( 4 votes )

Algorithms and Data Structures Capstone (edX)

Synthesize your knowledge of algorithms and biology to build your own software for solving a biological challenge. Building a fully-fledged algorithm to assemble genomes from DNA fragments on a real dataset is an enormous challenge with major demand in the multi-billion dollar biotech industry. In this capstone project, we [...]
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Average: 8 ( 3 votes )

Graph Algorithms in Genome Sequencing (edX)

Learn how graphs are used to assemble millions of pieces of DNA into a contiguous genome and use these genomes to construct a Tree of Life.
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Dynamic Programming: Applications In Machine Learning and Genomics (edX)

Learn how dynamic programming and Hidden Markov Models can be used to compare genetic strings and uncover evolution. If you look at two genes that serve the same purpose in two different species, how can you rigorously compare these genes in order to see how they have evolved away [...]
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Average: 10 ( 2 votes )

String Processing and Pattern Matching Algorithms (edX)

Learn about pattern matching and string processing algorithms and how they apply to interesting applications. The world and internet are full of textual information. We search for information using textual queries and read websites, books and e-mails.
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Analyze your Genome! (edX)

Learn how to use existing tools and pipelines to analyze next generation sequencing (NGS) data. Are you interested in analyzing biological datasets but don’t have a strong computational background? Do you want to focus on the biology and learn how to use modern best-practice pipelines that use existing tools? [...]
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Introduction to Genomic Data Science (edX)

Join us on the frontier of bioinformatics and learn how to look for hidden messages in DNA without ever needing to put on a lab coat. In the first half of this course, we'll investigate DNA replication, and ask the question, where in the genome does DNA replication begin? [...]
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Average: 2 ( 2 votes )

Bioinformatics Algorithms (Stepik)

Explore the power of computing in modern biology and apply existing software tools to find recurring biological motifs within genes that are responsible for helping Mycobacterium tuberculosis go "dormant" within a host for many years before causing an active infection.
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Average: 10 ( 3 votes )