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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- 5 stars80.48%
- 4 stars14.87%
- 3 stars3.17%
- 2 stars0.48%
- 1 star0.97%
ALGORITHMS FOR DNA SEQUENCING의 최상위 리뷰
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 well prepared, from basics up to all commonly used techniques in bioinformatics. Prerequisites in Python is a plus, but not even necessary.
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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