课程信息
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第 1 门课程(共 8 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

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完成时间大约为8 小时

英语(English)

字幕:英语(English)
User
学习Course的学生是
  • Biologists
  • Scientists
  • Biostatisticians
  • Researchers
  • User Experience Researchers

您将获得的技能

BioinformaticsStatisticsData ScienceComputational Biology
User
学习Course的学生是
  • Biologists
  • Scientists
  • Biostatisticians
  • Researchers
  • User Experience Researchers

第 1 门课程(共 8 门)

100% 在线

立即开始,按照自己的计划学习。

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8 小时

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 2 小时

Overview

8 个视频 (总计 81 分钟), 2 个阅读材料, 1 个测验
8 个视频
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
2
完成时间为 1 小时

Measurement Technology

3 个视频 (总计 25 分钟), 1 个测验
3 个视频
Next Generation Sequencing7分钟
Applications of Sequencing8分钟
1 个练习
Quiz 2: Measurement Technology20分钟
3
完成时间为 1 小时

Computing Technology

6 个视频 (总计 39 分钟), 1 个测验
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
4
完成时间为 2 小时

Data Science Technology

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
4.5
279 个审阅Chevron Right

36%

完成这些课程后已开始新的职业生涯

28%

通过此课程获得实实在在的工作福利

来自基因组技术基础的热门评论

创建者 KKNov 21st 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!

创建者 MRJun 13th 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.

讲师

Avatar

Steven Salzberg, PhD

Professor
Biomedical Engineering, Computer Science, and Biostatistics
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Jeff Leek, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health

关于 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....

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....
基因组数据科学

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