We will learn computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. We will learn a little about DNA, genomics, and how DNA sequencing is used. We will use Python to implement key algorithms and data structures and to analyze real genomes and DNA sequencing datasets.
This course is part of the Genomic Data Science Specialization
28,536 already enrolled
Offered By
Genomic Data Science SpecializationJohns Hopkins UniversityAbout this Course
30,696 recent views
Learner Career Outcomes
43%
started a new career after completing these courses
33%
got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 4 of 8 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 12 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Skills you will gain
Bioinformatics AlgorithmsAlgorithmsPython ProgrammingAlgorithms On Strings
Learner Career Outcomes
43%
started a new career after completing these courses
33%
got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 4 of 8 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 12 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Offered by
Johns Hopkins University
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Syllabus - What you will learn from this course
4 hours to complete
DNA sequencing, strings and matching
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.
4 hours to complete
19 videos (Total 112 min), 7 readings, 2 quizzes
3 hours to complete
Preprocessing, indexing and approximate matching
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
3 hours to complete
15 videos (Total 114 min), 1 reading, 2 quizzes
3 hours to complete
Edit distance, assembly, overlaps
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.
3 hours to complete
13 videos (Total 92 min), 1 reading, 2 quizzes
3 hours to complete
Algorithms for assembly
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.
3 hours to complete
13 videos (Total 83 min), 1 reading, 2 quizzes
Reviews
TOP REVIEWS FROM ALGORITHMS FOR DNA SEQUENCING
by VKAug 7, 2017
This course provided me a very quick overview of all the core concepts pertaining to DNA sequencing. It is very well organized, crystal clear demonstration of concepts and I really enjoyed the course.
by KPMay 18, 2020
Very good course this is. Just a little advice, please make the quiz questions more clear and more specific because one shouldn't waste time to understand a question which is very easy to implement.
by NFMar 9, 2021
very engaging and well-presented course material. intermediate difficulty while conveying the basics of how even recent real-world genome alignment and assembly tools work. great course design!
by MYOct 9, 2020
One of the most useful courses I have joined. Many thanks to the instructors for these quality lectures and for the time spent to deliver the information as easily as possible!
About the Genomic Data Science Specialization
With genomics sparks a revolution in medical discoveries, it becomes imperative to be able to better understand the genome, and be able to leverage the data and information from genomic datasets. Genomic Data Science is the field that applies statistics and data science to the genome.
Frequently Asked Questions
When will I have access to the lectures and assignments?
What will I get if I subscribe to this Specialization?
Is financial aid available?
Will I earn university credit for completing the Course?
More questions? Visit the Learner Help Center.
