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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383 登録済み
シラバス - 本コースの学習内容
週
11時間で修了
Introduction
In this first week, we'll introduce the project and get you oriented to the tasks that you'll be performing over the next several weeks.
1件のビデオ （合計3分）, 6 readings
6件の学習用教材
Welcome10 分
The big question10 分
What you will be doing in this capstone project10 分
Passing the Capstone10 分
Why re-analysis?10 分
Why is this so hard?10 分
週
21時間で修了
Introduction to the Dataset - Andrew Jaffe
This week, we'll really dig into the dataset by providing an introduction from Andrew Jaffe, the lead scientist on the analysis. You should also be looking ahead to Task 2, which is due in Week 4; the alignment will take a long time to perform, so you should start early.
1件のビデオ （合計4分）, 3 readings
1件のビデオ
3件の学習用教材
Phenotype information10 分
Getting the data from SRA10 分
Which samples to use10 分
週
31時間で修了
Understand the Problem
The purpose of genomic data science is to answer fundamental questions in biology. Before starting on the data analysis process, the first step is always to understand the scientific question you are trying to answer. Don't forget to stay on top of the alignment task due in Week 4; it will take a long time to accomplish and shouldn't be put off.
1件のビデオ （合計7分）, 1 reading, 1 quiz
週
42時間で修了
Alignment
Once you have understood the problem, the next step is to obtain the raw data so that you can perform your analysis.
1 quiz
週
52時間で修了
QC the Alignment
Now you have aligned the data, the next step is to do some quality control to make sure that the data are in good shape.
1 quiz
週
62時間で修了
Get Feature Counts
Now that you have performed alignment and quality control, the next step is to calculate the abundance of every gene in every sample.
1 quiz
週
72時間で修了
Exploratory Analysis
After summarizing your genomic data the next step is to load the data into R for analysis with Bioconductor.
1 quiz
週
82時間で修了
Statistical Analysis
The next step is to perform a statistical analysis to detect genes that are differentially expressed.
1 quiz
週
94時間で修了
Gene Set Analysis
In task 6, we have identified genes differentially expressed between fetal and adult brain. Now we will examine these results in a wider context.
2 quizzes
週
102時間で修了
Describe Your Analysis
The next step is to document your work. One of the major issues in genomic data science is that there are so many steps in the process. If these steps are not documented well the result can be major problems.
1 quiz
4.6
12件のレビュー人気のレビュー
Great course! I can't think of a better way of putting together all we learned during the whole specialisation in one real world research project...
An excellent challenge. Previous courses everything was neatly packaged before you start. This course teaches you how to get there.
講師
Jeff Leek, PhD
Associate Professor, BiostatisticsBloomberg School of Public Health
Kasper Daniel Hansen, PhD
Assistant Professor, Biostatistics and Genetic MedicineBloomberg School of Public Health
ジョンズ・ホプキンズ大学（Johns Hopkins University）について
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.
Genomic Data Scienceの専門講座について
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.
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