Специализация Наука о геномных данных

Начинается апр 10

Специализация Наука о геномных данных

Become a next generation sequencing data scientist

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

Об этой специализации

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.

Автор:

Партнеры курса:

courses
8 courses

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Проекты

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Курсы
Intermediate Specialization.
Some related experience required.
  1. 1-Й КУРС

    Introduction to Genomic Technologies

    Предстоящая сессия: апр 10–май 15.
    Субтитры
    English

    О курсе

    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. 2-Й КУРС

    Genomic Data Science with Galaxy

    Предстоящая сессия: апр 10–май 15.
    Субтитры
    English

    О курсе

    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. 3-Й КУРС

    Python for Genomic Data Science

    Предстоящая сессия: апр 10–май 15.
    Субтитры
    English

    О курсе

    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. 4-Й КУРС

    Алгоритмы секвенирования ДНК

    Предстоящая сессия: апр 10–май 15.
    Субтитры
    English

    О курсе

    Мы будем изучать компьютерные методы - алгоритмы и структурные данные - для анализа данных секвенирования ДНК. Мы узнаем кое-что о ДНК, геномике и о том, как используется секвенирование ДНК. Мы будем использовать Питон для реализации основных алгоритмов и работы со структурными данными для анализа реальных геномов и данных секвенирования ДНК.
  5. 5-Й КУРС

    Command Line Tools for Genomic Data Science

    Предстоящая сессия: апр 10–май 15.
    Субтитры
    English

    О курсе

    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. 6-Й КУРС

    Bioconductor for Genomic Data Science

    Предстоящая сессия: апр 10–май 15.
    Субтитры
    English

    О курсе

    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. 7-Й КУРС

    Statistics for Genomic Data Science

    Предстоящая сессия: апр 10–май 15.
    Субтитры
    English

    О курсе

    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. 8-Й КУРС

    Genomic Data Science Capstone

    Предстоящая сессия: май 22–авг 7.
    Выполнение
    8 weeks of study, 2-4 hours/week
    Субтитры
    English

    О дипломном проекте

    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.

Авторы

  • Университет Джона Хопкинса

    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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