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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About this Course
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Try Coursera for BusinessSkills you will gain
- Bioinformatics Algorithms
- Algorithms
- Python Programming
- Algorithms On Strings
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Syllabus - What you will learn from this course
DNA sequencing, strings and matching
Preprocessing, indexing and approximate matching
Edit distance, assembly, overlaps
Algorithms for assembly
Reviews
- 5 stars80.53%
- 4 stars14.87%
- 3 stars3.14%
- 2 stars0.48%
- 1 star0.96%
TOP REVIEWS FROM ALGORITHMS FOR DNA SEQUENCING
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!
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.
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 was really fun. Really enjoyed the a-ha of the algorithms and the fun of solving the alignment and assembly problems. Feel mildly powerful after assembling a virus genome.
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