基因组数据科学

Become a next generation sequencing data scientist

Become a next generation sequencing data scientist.Master the tools and techniques at the forefront of the sequencing data revolution.

约翰霍普金斯大学

专项课程

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基因组数据科学

课程概况

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.

第 1 门课程

Introduction to Genomic Technologies

即将开课的班次:5月 9 — 6月 13。每隔 3 周会有一个新班次开课。

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.

第 2 门课程

Genomic Data Science with Galaxy

即将开课的班次:5月 9 — 6月 13。每隔 3 周会有一个新班次开课。

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.

第 3 门课程

Python for Genomic Data Science

即将开课的班次:5月 9 — 6月 13。每隔 3 周会有一个新班次开课。

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.

第 4 门课程

Algorithms for DNA Sequencing

即将开课的班次:5月 9 — 6月 13。每隔 3 周会有一个新班次开课。

课程概述
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.

第 5 门课程

Command Line Tools for Genomic Data Science

即将开课的班次:5月 9 — 6月 13。每隔 3 周会有一个新班次开课。

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.

第 6 门课程

使用Bioconductor分析基因组科学数据

即将开课的班次:5月 9 — 6月 13。每隔 3 周会有一个新班次开课。

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.

第 7 门课程

Statistics for Genomic Data Science

即将开课的班次:5月 9 — 6月 13。每隔 3 周会有一个新班次开课。

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.

毕业项目

Genomic Data Science Capstone

即将开课的班次:6月 20 — 9月 5。每隔 3 周会有一个新班次开课。
课程学习时间 8 weeks of study, 2-4 hours/week

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.

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