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
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.
Coursera
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.
Coursera
Dive into the world of genomics and computational biology with our Genome Assembly Programming Challenge course. This unique online learning experience will equip you with the skills needed to assemble and analyze genomes, focusing on a deadly E.coli outbreak case study that revolutionized public health response. Perfect for bioinformatics enthusiasts and professionals.
EdX
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.
EdX
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.
EdX
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.
EdX
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.
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.
Coursera
Explore the intersection of bioinformatics and pharmacology with this unique online course. Learn about metabolic pathway analysis and its application in finding potential drug targets for SARS-CoV-2, the virus responsible for the global COVID-19 pandemic. Gain insights into how computational approaches can be used to combat viral infections.