Специализация Genomic Data Science

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. To audit Genomic Data Science courses for free, visit https://www.coursera.org/jhu, click the course, click Enroll, and select Audit.

Автор:

Партнеры курса:

8 courses

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Проекты

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Сертификаты

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Курсы

Intermediate Specialization.: Some related experience required.

1-Й КУРС
Introduction to Genomic Technologies
Предстоящая сессия: Aug 27
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 epig
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2-Й КУРС
Genomic Data Science with Galaxy
Предстоящая сессия: Aug 27
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 Sci
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3-Й КУРС
Python for Genomic Data Science
Предстоящая сессия: Aug 27
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
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4-Й КУРС
Algorithms for DNA Sequencing
Предстоящая сессия: Aug 27
Субтитры
English
О курсе
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
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5-Й КУРС
Command Line Tools for Genomic Data Science
Предстоящая сессия: Aug 27
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
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6-Й КУРС
Bioconductor for Genomic Data Science
Предстоящая сессия: Aug 27
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
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7-Й КУРС
Statistics for Genomic Data Science
Предстоящая сессия: Aug 27
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
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8-Й КУРС
Genomic Data Science Capstone
Предстоящая сессия: Oct 8
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 repo
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Авторы

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
Assistant Professor
Steven Salzberg, PhD
Professor
Kasper Daniel Hansen, PhD
Assistant Professor, Biostatistics and Genetic Medicine
Jacob Pritt
James Taylor, PhD
Associate Professor of Biology and Computer Science
Liliana Florea, PhD
Assistant Professor
Jeff Leek, PhD
Associate Professor, Biostatistics
Ben Langmead, PhD
Assistant Professor