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.
Week 2 Introduction
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Compétences que vous apprendrez
Bioinformatics Algorithms, Algorithms, Python Programming, Algorithms On Strings
Avis
MD
Nov 10, 2016
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.
LK
Mar 12, 2016
Excellent intro to the computational challenges in analyzing genomic sequences.\n\nLectures and programming exercises explain algorithms very clearly even for beginners.
À partir de la leçon
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
Enseigné par
Ben Langmead, PhD
Assistant Professor
Jacob Pritt
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