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.
About this Course
Skills you will gain
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.
- 5 stars80.81%
- 4 stars14.85%
- 3 stars2.97%
- 2 stars0.49%
- 1 star0.86%
TOP REVIEWS FROM ALGORITHMS FOR DNA SEQUENCING
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!
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.
I loved this course a lot. It's well organized. The lectures are clear. And the practicals are highly useful. Also, the assignments are helpful.
This is by far the hardest and most organized. My coding skills have improved greatly. The codes are explained very well. I definitely recommend it!
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