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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Habilidades que obtendrás
- 5 stars80,55 %
- 4 stars14,85 %
- 3 stars3,14 %
- 2 stars0,48 %
- 1 star0,96 %
Principales reseñas sobre ALGORITHMS FOR DNA SEQUENCING
I had a lot of fun doing the little programming assignments in this course. I did not know I like algorithms this much. The pace is good and it is well taught.
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.
John Hopkin University provides an excellent course. It is effective for postdoctoral fellows and early career researchers, primarily those in the STEM fields !
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!
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