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.
Optional lecture: How second-generation sequencers work
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Skills You'll Learn
Bioinformatics Algorithms, Algorithms, Python Programming, Algorithms On Strings
Reviews
4.7 (898 ratings)
- 5 stars80.06%
- 4 stars14.81%
- 3 stars3.11%
- 2 stars0.55%
- 1 star1.44%
NF
Mar 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!
LS
Dec 16, 2021
This course is a great starting point in alignment algorithms. The topics are well explained, but lack practical depth. I strongly recommend this course to any bioinformatician in development!
From the lesson
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.
Taught By
Ben Langmead, PhD
Assistant Professor
Jacob Pritt