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Lecture: Sequencing reads in FASTQ format

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來自 Johns Hopkins University 的課程
DNA 测序算法
351 個評分
Johns Hopkins University

DNA 测序算法

351 個評分
課程 4（共 8 門，Specialization 基因组数据科学）
從本節課中
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.
Module 1 Introduction1:32
Lecture: Why study this?4:29
Lecture: DNA sequencing past and present3:08
Lecture: Genomes as strings, reads as substrings5:02
Lecture: String definitions and Python examples3:33
Practical: String basics 7:14
Practical: Manipulating DNA strings 7:00
Practical: Downloading and parsing a genome 6:29
Lecture: How DNA gets copied3:37
Optional lecture: How second-generation sequencers work 7:10
Optional lecture: Sequencing errors and base qualities 6:37
Lecture: Sequencing reads in FASTQ format4:39
Practical: Working with sequencing reads 11:11
Practical: Analyzing reads by position 6:58
Lecture: Sequencers give pieces to genomic puzzles5:41
Lecture: Read alignment and why it's hard3:09
Lecture: Naive exact matching10:18
Practical: Matching artificial reads 6:53
Practical: Matching real reads 7:24

與講師見面

  • Ben Langmead, PhD
    Ben Langmead, PhD
    Assistant Professor
    Computer Science
  • Jacob Pritt
    Jacob Pritt

    Department of Computer Science

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