Search result for Courses taught by Pavel Pevzner
FollowFilter ![]()
Filter ![]()
Showing 19 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Algorithms and Data Structures Capstone
by Pavel Pevzner , Phillip Compeau- 0.0
-
![]()
![]()
![]()
![]()
![]()
4 Weeks
Synthesize your knowledge of algorithms and biology to build your own software for solving a biological challenge. Building a fully-fledged algorithm to assemble genomes from DNA fragments on a real dataset is an enormous challenge with major demand in the multi-billion dollar biotech industry. This big data challenge will cover the entire MicroMasters program....
$150
Graph Algorithms in Genome Sequencing
by Pavel Pevzner , Phillip Compeau- 0.0
-
![]()
![]()
![]()
![]()
![]()
3 Weeks
Learn how graphs are used to assemble millions of pieces of DNA into a contiguous genome and use these genomes to construct a Tree of Life. In this course, part of the Algorithms and Data Structures MicroMasters program, you will learn how graph algorithms are used in two fundamental problems in modern biology:...
$150
Dynamic Programming: Applications In Machine Learning and Genomics
by Pavel Pevzner , Phillip Compeau- 0.0
-
![]()
![]()
![]()
![]()
![]()
4 Weeks
Learn how dynamic programming and Hidden Markov Models can be used to compare genetic strings and uncover evolution. If you look at two genes that serve the same purpose in two different species, how can you rigorously compare these genes in order to see how they have evolved away from each other?...
$150
Introduction to Genomic Data Science
by Pavel Pevzner , Phillip Compeau- 0.0
-
![]()
![]()
![]()
![]()
![]()
Join us on the frontier of bioinformatics and learn how to look for hidden messages in DNA without ever needing to put on a lab coat. In the first half of this course, we'll investigate DNA replication, and ask the question, where in the genome does DNA replication begin? Perhaps surprisingly, we will apply randomized algorithms to solve problems....
$49
Analyze Your Genome!
by Pavel Pevzner , Phillip Compeau , Niema Moshiri- 0.0
-
![]()
![]()
![]()
![]()
![]()
4 Weeks
Learn how to use existing tools and pipelines to analyze next generation sequencing (NGS) data. Are you interested in analyzing biological datasets but don’t have a strong computational background? Do you want to focus on the biology and learn how to use modern best-practice pipelines that use existing tools? How to analyze gene expressions...
$49
Algorithmic Design and Techniques
by Pavel Pevzner , Daniel Kane , Alexander S. Kulikov , Michael Levin- 0.0
-
![]()
![]()
![]()
![]()
![]()
6 Weeks
Learn how to design algorithms, solve computational problems and implement solutions efficiently. In this course, part of the Algorithms and Data Structures MicroMasters program, you will learn basic algorithmic techniques and ideas for computational problems, which arise in practical applications such as sorting and searching, divide and conquer, greedy algorithms and dynamic programming....
$99
String Processing and Pattern Matching Algorithms
by Pavel Pevzner , Michael Levin- 0.0
-
![]()
![]()
![]()
![]()
![]()
4 Weeks
Learn about pattern matching and string processing algorithms and how they apply to interesting applications. The world and internet are full of textual information. We search for information using textual queries and read websites, books and e-mails. These are all strings from a computer science point of view. suffix trees; suffix arrays;...
$150
Biology Meets Programming: Bioinformatics for Beginners
by Pavel Pevzner , Phillip Compeau- 4.3
-
![]()
![]()
![]()
![]()
![]()
Approx. 19 hours to complete
Are you interested in learning how to program (in Python) within a scientific setting? This course will cover algorithms for solving various biological problems along with a handful of programming challenges helping you implement these algorithms in Python. It offers a gently-paced introduction to our Bioinformatics Specialization (https://www. coursera. coursera. org/learn/dna-analysis)....
Algorithmic Toolbox
by Alexander S. Kulikov , Michael Levin , Neil Rhodes , Pavel Pevzner , Daniel M Kane- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 39 hours to complete
The course covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic programming. You will practice solving computational problems, designing new algorithms, and implementing solutions efficiently (so that they run in less than a second). Programming Challenges Welcome!...
Finding Hidden Messages in DNA (Bioinformatics I)
by Pavel Pevzner , Phillip Compeau- 4.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 16 hours to complete
Named a top 50 MOOC of all time by Class Central! This course begins a series of classes illustrating the power of computing in modern biology. Please join us on the frontier of bioinformatics to look for hidden messages in DNA without ever needing to put on a lab coat. Week 1: Welcome!...
