基因组数据科学 专项课程

于 4月 10 开始

基因组数据科学 专项课程

Become a next generation sequencing data scientist

Master the tools and techniques at the forefront of the sequencing data revolution.

本专项课程介绍

This specialization covers the concepts and tools to understand, analyze, and interpret data from next generation sequencing experiments. It teaches the most common tools used in genomic data science including how to use the command line, Python, R, Bioconductor, and Galaxy. The sequence is a stand alone introduction to genomic data science or a perfect compliment to a primary degree or postdoc in biology, molecular biology, or genetics.

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courses
8 courses

按照建议的顺序或选择您自己的顺序。

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项目

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证书

在您的简历和领英中展示您的新技能。

课程
Intermediate Specialization.
Some related experience required.
  1. 第 1 门课程

    Introduction to Genomic Technologies

    即将开课的班次:4月 10 — 5月 15。
    字幕
    English

    课程概述

    This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it. We'll introduce the Central Dogma of Molecular Biology and cover how next-generation sequencing can be used to measure DNA, RNA, and epigenetic patterns. You'll also get an introduction to the key concepts in computing and data science that you'll need to understand how data from next-generation sequencing experiments are generated and analyzed. This is the first course in the Genomic Data Science Specialization.
  2. 第 2 门课程

    Genomic Data Science with Galaxy

    即将开课的班次:4月 10 — 5月 15。
    字幕
    English

    课程概述

    Learn to use the tools that are available from the Galaxy Project. This is the second course in the Genomic Big Data Science Specialization.
  3. 第 3 门课程

    Python for Genomic Data Science

    即将开课的班次:4月 10 — 5月 15。
    字幕
    English

    课程概述

    This class provides an introduction to the Python programming language and the iPython notebook. This is the third course in the Genomic Big Data Science Specialization from Johns Hopkins University.
  4. 第 4 门课程

    DNA 测序算法

    即将开课的班次:4月 10 — 5月 15。
    字幕
    English

    课程概述

    我们将学会对 DNA 测序数据进行分析的计算方法——算法和数据结构。我们将学习一点DNA、基因组、以及 DNA 测序的应用的相关知识。我们将使用 Python 实现关键算法和数据结构,并分析实际的基因组和 DNA 测序数据集。
  5. 第 5 门课程

    Command Line Tools for Genomic Data Science

    即将开课的班次:4月 10 — 5月 15。
    字幕
    English

    课程概述

    Introduces to the commands that you need to manage and analyze directories, files, and large sets of genomic data. This is the fourth course in the Genomic Big Data Science Specialization from Johns Hopkins University.
  6. 第 6 门课程

    Bioconductor for Genomic Data Science

    即将开课的班次:4月 10 — 5月 15。
    字幕
    English

    课程概述

    Learn to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth course in the Genomic Big Data Specialization from Johns Hopkins University.
  7. 第 7 门课程

    Statistics for Genomic Data Science

    即将开课的班次:4月 10 — 5月 15。
    字幕
    English

    课程概述

    An introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization from Johns Hopkins University.
  8. 第 8 门课程

    Genomic Data Science Capstone

    即将开课的班次:5月 22 — 8月 7。
    课程学习时间
    8 weeks of study, 2-4 hours/week
    字幕
    English

    毕业项目介绍

    In this culminating project, you will deploy the tools and techniques that you've mastered over the course of the specialization. You'll work with a real data set to perform analyses and prepare a report of your findings.

制作方

  • 约翰霍普金斯大学

    Johns Hopkins University is recognized as a destination for excellent, ambitious scholars and a world leader in teaching and research. The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.

    The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.

  • Mihaela Pertea, PhD

    Mihaela Pertea, PhD

    Assistant Professor
  • Steven Salzberg, PhD

    Steven Salzberg, PhD

    Professor
  • Kasper Daniel Hansen, PhD

    Kasper Daniel Hansen, PhD

    Assistant Professor, Biostatistics and Genetic Medicine
  • Jacob Pritt

    Jacob Pritt

  • James Taylor, PhD

    James Taylor, PhD

    Associate Professor of Biology and Computer Science
  • Liliana Florea, PhD

    Liliana Florea, PhD

    Assistant Professor
  • Jeff Leek, PhD

    Jeff Leek, PhD

    Associate Professor, Biostatistics
  • Ben Langmead, PhD

    Ben Langmead, PhD

    Assistant Professor

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