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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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
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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
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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
Details
Algorithms and Data Structures Capstone (edX) EdX
University of California, San Diego,UC San DiegoX

Algorithms and Data Structures Capstone (edX)

Sci: Biology & Life Sciences CS: Theory

Synthesize your knowledge of algorithms and biology to tackle the intricate task of assembling genomes from DNA fragments. This capstone project will challenge you to design, develop, and optimize your own software program for genome sequencing, applying all that you've learned about data structures and algorithms in a practical, industry-relevant context.

Self Paced
Self-Paced
Biology Algorithms Data Structures
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