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.
Module 3 Introduction
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From the course by Johns Hopkins University
Algorithms for DNA Sequencing
Johns Hopkins University
Course 4 of 8 in the Specialization Genomic Data Science
From the lesson
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.
Meet the Instructors
Ben Langmead, PhDAssistant Professor
Computer Science
Jacob Pritt
Department of Computer Science
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