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.
Practical: Overlaps between pairs of reads
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Получаемые навыки
Bioinformatics Algorithms, Algorithms, Python Programming, Algorithms On Strings
Рецензии
9 окт. 2020 г.
One of the most useful courses I have joined.\n\nMany thanks to the instructors for these quality lectures and for the time spent to deliver the information as easily as possible!
30 дек. 2020 г.
Highly eloquent instructors that make intricate concepts accessible and fun to learn. Would definitely help if you have some programming or bioinformatics background beforehand.
Из урока
Edit distance, assembly, overlaps
This week we finish our discussion of read alignment by learning about algorithms that solve both the edit distance problem and related biosequence analysis problems, like global and local alignment.
Преподаватели
Ben Langmead, PhD
Assistant Professor
Jacob Pritt
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