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: Approximate matching, Hamming and edit distance
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Do curso por Johns Hopkins University
Algoritmos para Sequenciamento de DNA
Johns Hopkins University
Curso 4 de 8 em Specialization Genomic Data Science
Na lição
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
Conheça os instrutores
Ben Langmead, PhDAssistant Professor
Computer Science
Jacob Pritt
Department of Computer Science
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