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

Algorithms and Data Structures Capstone (edX)

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
Introduction to Genomic Data Science (edX) EdX
University of California, San Diego,UC San DiegoX

Introduction to Genomic Data Science (edX)

Dive into the fascinating world of genomic data science with this introductory course. Explore DNA replication, understand where DNA begins to replicate in bacteria, and learn straightforward algorithms for analyzing genetic information. Perfect for beginners eager to decode the language of life.

No sessions available
4 Weeks
Analyze your Genome! (edX) EdX
University of California, San Diego,UC San DiegoX

Analyze your Genome! (edX)

Dive into the world of genomics with 'Analyze Your Genome!', a beginner-friendly course that teaches you how to analyze biological datasets through next-generation sequencing (NGS) data. Gain hands-on experience with Illumina’s user-friendly BaseSpace platform, without needing a strong computational background. Explore specific biological problems each week and learn best-practice pipelines.

No sessions available
4 Weeks
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