Johns Hopkins University

Algorithms for DNA Sequencing

Ben Langmead, PhD
Jacob Pritt

Instructors: Ben Langmead, PhD

43,017 already enrolled

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Gain insight into a topic and learn the fundamentals.
4.7

(895 reviews)

12 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace
96%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.7

(895 reviews)

12 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace
96%
Most learners liked this course

Details to know

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Assessments

8 assignments

Taught in English

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This course is part of the Genomic Data Science Specialization
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There are 4 modules in this course

This module we begin our exploration of algorithms for analyzing DNA sequencing data. We'll discuss DNA sequencing technology, its past and present, and how it works.

What's included

19 videos7 readings2 assignments

In this module, we learn useful and flexible new algorithms for solving the exact and approximate matching problems. We'll start by learning Boyer-Moore, a fast and very widely used algorithm for exact matching

What's included

15 videos1 reading2 assignments

This week we finish our discussion of read alignment by learning about algorithms that solve both the edit distance problem and related biosequence analysis problems, like global and local alignment.

What's included

13 videos1 reading2 assignments

In the last module we began our discussion of the assembly problem and we saw a couple basic principles behind it. In this module, we'll learn a few ways to solve the alignment problem.

What's included

13 videos1 reading2 assignments

Instructors

Instructor ratings
4.8 (115 ratings)
Ben Langmead, PhD
Johns Hopkins University
1 Course43,017 learners

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