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/

Coursera

University of California, San Diego

Comparing Genes, Proteins, and Genomes (Bioinformatics III) (Coursera)

Sci: Biology & Life Sciences Health & Society

Dive into the fascinating world of bioinformatics with 'Comparing Genes, Proteins, and Genomes (Bioinformatics III)'. This comprehensive online course will guide you through comparing genetic sequences, understanding evolutionary changes, and applying advanced algorithmic tools to analyze DNA and protein data. Perfect for students, researchers, and professionals in biology and genetics.

Sep 14th 2026

5-12 Weeks

Genes DNA Genomes

Coursera

University of California, San Diego

Finding Mutations in DNA and Proteins (Bioinformatics VI) (Coursera)

Sci: Biology & Life Sciences Computer Science

Dive into the intricate world of genomics and proteomics with this specialized online course, where you'll learn advanced bioinformatics techniques for identifying mutations in DNA and proteins. This course is perfect for those looking to delve deeper into understanding genetic variations and their implications on health and evolution.

Sep 14th 2026

5-12 Weeks

DNA Bioinformatics Proteins

Coursera

University of California, San Diego,Higher School of Economics - HSE University

Algorithmic Toolbox (Coursera)

CS: Software Engineering CS: Theory

Discover the power of algorithms with 'Algorithmic Toolbox', a comprehensive Coursera course that teaches you how to tackle everyday computational challenges. Learn sorting and searching, divide-and-conquer strategies, greedy algorithms, dynamic programming, and more through engaging video lectures and hands-on practice.

Sep 14th 2026

5-12 Weeks

Algorithms Debugging Data Structures

Coursera

University of California, San Diego,Higher School of Economics - HSE University

Algorithms on Strings (Coursera)

CS: Software Engineering CS: Theory

Explore the fascinating world of string algorithms in this online course. Delve into the techniques that drive search engine efficiency and revolutionize personalized medicine. From understanding text queries to identifying disease-causing mutations in human genomes, this course offers a deep dive into the computational methods that make sense of textual information.

Sep 14th 2026

4 Weeks

Algorithms Data Structures Strings

Coursera

University of California, San Diego

Biology Meets Programming: Bioinformatics for Beginners (Coursera)

CS: Software Engineering CS: Theory

Dive into the fascinating world where biology meets programming with 'Biology Meets Programming: Bioinformatics for Beginners.' This course is designed to introduce you to the basics of bioinformatics, teaching you how to apply programming (specifically Python) to solve complex biological problems. Whether you're a student, researcher, or simply curious about the intersection of science and coding, this course will equip you with essential skills in algorithm implementation and problem-solving within a biological context.

Sep 14th 2026

4 Weeks

Health Biology Programming

EdX

University of California, San Diego,UC San DiegoX

Algorithmic Design and Techniques (edX)

CS: Theory Sci: Mathematics

Discover the art of designing algorithms and mastering computational problem-solving with our Algorithmic Design and Techniques course on edX. Whether you're a beginner or looking to enhance your expertise, this course will equip you with the essential tools and techniques needed to tackle intricate problems efficiently.

Self Paced

Self-Paced

Algorithms Algorithm Design Dynamic Programming

String Processing and Pattern Matching Algorithms (edX)

EdX

University of California, San Diego,UC San DiegoX

String Processing and Pattern Matching Algorithms (edX)

Sci: Mathematics Computer Science

Discover the power of text analysis through String Processing and Pattern Matching Algorithms, an engaging course offered by edX. Delve into the core concepts that drive efficient information retrieval and manipulation in a world dominated by textual data. Learn how these algorithms are applied across various fields such as web searching, natural language processing, and bioinformatics.

Self Paced

Self-Paced

Algorithms Algorithms and Data Structures MicroMasters Pattern Matching

Dynamic Programming: Applications In Machine Learning and Genomics (edX)

EdX

University of California, San Diego,UC San DiegoX

Dynamic Programming: Applications In Machine Learning and Genomics (edX)

Sci: Biology & Life Sciences Sci: Mathematics

Dive into Dynamic Programming: Applications In Machine Learning and Genomics on edX. Learn how to compare genetic strings using sophisticated algorithms and understand the evolutionary paths of genes across different species. Perfect for bioinformatics enthusiasts, data scientists, and anyone interested in advanced computational biology.

Self Paced

Self-Paced

Machine Learning Genomics Dynamic Programming

Graph Algorithms in Genome Sequencing (edX)

EdX

University of California, San Diego,UC San DiegoX

Graph Algorithms in Genome Sequencing (edX)

Sci: Biology & Life Sciences Sci: Mathematics

Dive into the fascinating world of genomics and learn how graph algorithms are used to piece together millions of DNA fragments into a complete genome sequence. This course explores the application of these algorithms in assembling genomes and constructing an evolutionary Tree of Life, providing you with essential skills for advancing genetic research and understanding our biological heritage.

Self Paced

Self-Paced

Algorithms Genome Genome Sequencing

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