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.
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Optional lecture: How second-generation sequencers work
Skills You'll Learn
Algorithms, Data Analysis, Computer Programming, Bioinformatics Algorithms, Bioinformatics, Programming Principles, Computer Programming Tools, Data Structures, Python Programming, Algorithms On Strings
Reviews
4.7 (921 ratings)
- 5 stars79.80%
- 4 stars14.87%
- 3 stars3.36%
- 2 stars0.54%
- 1 star1.41%
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!
AL
Jul 6, 2019
This is the best course so far in this specialization. I enjoyed the way both instructors explained the concepts using simple analogies. It was a really productive month for me!
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