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.
Lecture: Diversion: Repetitive elements
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Получаемые навыки
Bioinformatics Algorithms, Algorithms, Python Programming, Algorithms On Strings
Рецензии
4.7 (оценок: 742)
9 мар. 2021 г.
very engaging and well-presented course material.\n\nintermediate difficulty while conveying the basics of how even recent real-world genome alignment and assembly tools work. great course design!
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!
Из урока
Preprocessing, indexing and approximate matching
In this module, we learn useful and flexible new algorithms for solving the exact and approximate matching problems. We'll start by learning Boyer-Moore, a fast and very widely used algorithm for exact matching
Преподаватели
Ben Langmead, PhD
Assistant Professor
Jacob Pritt
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