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.
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基因组数据科学 专项课程约翰霍普金斯大学课程信息
152,202 次近期查看
学生职业成果
35%
完成这些课程后已开始新的职业生涯
27%
通过此课程获得实实在在的工作福利
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 1 门课程（共 8 门）
可灵活调整截止日期
根据您的日程表重置截止日期。
完成时间大约为6 小时
英语（English）
字幕：英语（English）
您将获得的技能
BioinformaticsStatisticsData ScienceComputational Biology
学生职业成果
35%
完成这些课程后已开始新的职业生涯
27%
通过此课程获得实实在在的工作福利
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 1 门课程（共 8 门）
可灵活调整截止日期
根据您的日程表重置截止日期。
完成时间大约为6 小时
英语（English）
字幕：英语（English）
提供方
约翰霍普金斯大学
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.
教学大纲 - 您将从这门课程中学到什么
完成时间为 2 小时
Overview
In this Module, you can expect to study topics of "Just enough molecular biology", "The genome", "Writing a DNA sequence", "Central dogma", "Transcription", "Translation", and "DNA structure and modifications".
完成时间为 2 小时
8 个视频 （总计 81 分钟）, 2 个阅读材料, 1 个测验
8 个视频
Why Genomics?12分钟
What Is Genomics?7分钟
What Is Genomic Data Science?8分钟
Just Enough Cell Biology8分钟
Important Molecules in Molecular Biology7分钟
The Human Genome Project17分钟
Molecular Biology Structures9分钟
From Genes to Phenotypes9分钟
2 个阅读材料
Syllabus10分钟
Pre-Course Survey10分钟
1 个练习
Quiz 1: Overview and Molecular Biology20分钟
完成时间为 1 小时
Measurement Technology
In this module, you'll learn about polymerase chain reaction, next generation sequencing, and applications of sequencing.
完成时间为 1 小时
3 个视频 （总计 25 分钟）
1 个练习
Quiz 2: Measurement Technology20分钟
完成时间为 1 小时
Computing Technology
The lectures for this module cover a few basic topics in computing technology. We'll go over the foundations of computer science, algorithms, memory and data structures, efficiency, software engineering, and computational biology software.
完成时间为 1 小时
6 个视频 （总计 39 分钟）
6 个视频
Algorithms4分钟
Memory and Data Structures6分钟
Efficiency3分钟
Software Engineering8分钟
What is Computational Biology Software11分钟
1 个练习
Quiz 3: Computing Technology20分钟
完成时间为 2 小时
Data Science Technology
In this module on Data Science Technology, we'll be covering quite a lot of information about how to handle the data produced during the sequencing process. We'll cover reproducibility, analysis, statistics, question types, the central dogma of inference, analysis code, testing, prediction, variation, experimental design, confounding, power, sample size, correlation, causation, and degrees of freedom.
完成时间为 2 小时
10 个视频 （总计 55 分钟）, 2 个阅读材料, 2 个测验
10 个视频
What Went Wrong?4分钟
The Central Dogma of Statistics3分钟
Data Sharing Plans4分钟
Getting Help with Statistics2分钟
Plotting Your Data5分钟
Sample Size and Variability7分钟
Statistical Significance6分钟
Multiple Testing7分钟
Study Design, Batch Effects, and Confounding7分钟
2 个阅读材料
Course Project Instructions and Reading10分钟
Post-Course Survey10分钟
2 个练习
Quiz 4: Data Science Technology20分钟
Course Project20分钟
审阅
来自基因组技术基础的热门评论
由 KK 提供Nov 20, 2017
Relatively nice introduction course, contents are maybe rather limited, yet as an instructive course, it does provide a clear overview which correlates well with the required answers for the quizzes!
由 NL 提供Apr 25, 2020
Great introduction to Genomics. The instructors really laid out the practical terms and gave great resources. Weeks 3 and 4 ramp up in difficulty, so some outside research in statistics is helpful.
由 GH 提供Oct 5, 2019
This course provides a gentle introduction to the concepts and terminology associated with genomics. As someone who never took a biology course in high school or university, this course is perfect.
由 MR 提供Jun 12, 2016
Very good introductory course. It's a lot of material to cover for a newbie, but if you have some background, you will find you progress pretty quickly. Enjoyable, engaging, fun and useful.
关于 基因组数据科学 专项课程
With genomics sparks a revolution in medical discoveries, it becomes imperative to be able to better understand the genome, and be able to leverage the data and information from genomic datasets. Genomic Data Science is the field that applies statistics and data science to the genome.
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, along with a variety of software implementation tools like Python, R, Bioconductor, and Galaxy.
This Specialization is designed to serve as both a standalone introduction to genomic data science or as a perfect compliment to a primary degree or postdoc in biology, molecular biology, or genetics, for scientists in these fields seeking to gain familiarity in data science and statistical tools to better interact with the data in their everyday work.
To audit Genomic Data Science courses for free, visit https://www.coursera.org/jhu, click the course, click Enroll, and select Audit. Please note that you will not receive a Certificate of Completion if you choose to Audit.
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