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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Johns Hopkins University
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
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Top-Bewertungen von ALGORITHMS FOR DNA SEQUENCING
This course provided me a very quick overview of all the core concepts pertaining to DNA sequencing. It is very well organized, crystal clear demonstration of concepts and I really enjoyed the course.
Very good course this is. Just a little advice, please make the quiz questions more clear and more specific because one shouldn't waste time to understand a question which is very easy to implement.
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 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!
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