Phillip Compeau

Phillip Compeau is a Ph.D. candidate and instructor in the department of mathematics at UC San Diego. Along with Nikolay Vyahhi, he co-founded Rosalind (http://rosalind.info), a site that teaches bioinformatics algorithms and tools through a series of programming challenges, and he serves as the site's content editor.
More info: http://www.linkedin.com/in/phillipcompeau

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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
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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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