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.
提供方
基因组数据科学 專項課程约翰霍普金斯大学課程信息
154,661 次近期查看
學生職業成果
35%
完成這些課程後已開始新的職業生涯
27%
通過此課程獲得實實在在的工作福利
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
第 1 門課程（共 8 門）
可靈活調整截止日期
根據您的日程表重置截止日期。
完成時間大約為6 小時
英語（English）
字幕：英語（English）
您將獲得的技能
BioinformaticsStatisticsData ScienceComputational Biology
學生職業成果
35%
完成這些課程後已開始新的職業生涯
27%
通過此課程獲得實實在在的工作福利
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
第 1 門課程（共 8 門）
可靈活調整截止日期
根據您的日程表重置截止日期。
完成時間大約為6 小時
英語（English）
字幕：英語（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.
教學大綱 - 您將從這門課程中學到什麼
完成時間為 2 小時
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".
完成時間為 2 小時
8 個視頻 （總計 81 分鐘）, 2 個閱讀材料, 1 個測驗
8 個視頻
Why Genomics?12分鐘
What Is Genomics?7分鐘
What Is Genomic Data Science?8分鐘
Just Enough Cell Biology8分鐘
Important Molecules in Molecular Biology7分鐘
The Human Genome Project17分鐘
Molecular Biology Structures9分鐘
From Genes to Phenotypes9分鐘
2 個閱讀材料
Syllabus10分鐘
Pre-Course Survey10分鐘
1 個練習
Quiz 1: Overview and Molecular Biology20分鐘
完成時間為 1 小時
Measurement Technology
In this module, you'll learn about polymerase chain reaction, next generation sequencing, and applications of sequencing.
完成時間為 1 小時
3 個視頻 （總計 25 分鐘）
1 個練習
Quiz 2: Measurement Technology20分鐘
完成時間為 1 小時
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.
完成時間為 1 小時
6 個視頻 （總計 39 分鐘）
6 個視頻
Algorithms4分鐘
Memory and Data Structures6分鐘
Efficiency3分鐘
Software Engineering8分鐘
What is Computational Biology Software11分鐘
1 個練習
Quiz 3: Computing Technology20分鐘
完成時間為 2 小時
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.
完成時間為 2 小時
10 個視頻 （總計 55 分鐘）, 2 個閱讀材料, 2 個測驗
10 個視頻
What Went Wrong?4分鐘
The Central Dogma of Statistics3分鐘
Data Sharing Plans4分鐘
Getting Help with Statistics2分鐘
Plotting Your Data5分鐘
Sample Size and Variability7分鐘
Statistical Significance6分鐘
Multiple Testing7分鐘
Study Design, Batch Effects, and Confounding7分鐘
2 個閱讀材料
Course Project Instructions and Reading10分鐘
Post-Course Survey10分鐘
2 個練習
Quiz 4: Data Science Technology20分鐘
Course Project20分鐘
審閱
來自基因组技术基础的熱門評論
由 SS 提供2020年5月27日
It was well taught. I liked the fact the two professors focused on two different subjects- biology and statistics portion of this course. The paragraphs written below each video was extremely helpful.
由 KK 提供2017年11月20日
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2020年4月25日
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2019年10月5日
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.
關於 基因组数据科学 專項課程
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.
常見問題
When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
還有其他問題嗎？請訪問 學生幫助中心。
© 2020 Coursera Inc.保留所有權利。
