Algorithms for DNA Sequencing

Algorithms for DNA Sequencing for johns hopkins university

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Created by Johns Hopkins University Staff Last updated Wed, 16-Mar-2022 English


Algorithms for DNA Sequencing free videos and free material uploaded by Johns Hopkins University Staff .

Syllabus / What will i learn?

                  DNA sequencing, strings and matching

                  This module we begin our exploration of algorithms for analyzing DNA sequencing data We'll discuss DNA sequencing technology, its past and present, and how it works

                  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

                  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

                  Algorithms for assembly

                  In the last module we began our discussion of the assembly problem and we saw a couple basic principles behind it In this module, we'll learn a few ways to solve the alignment problem



                  Curriculum for this course
                  0 Lessons 00:00:00 Hours
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                  Description

                  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

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