About this Course
4.6
29 ratings
12 reviews

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Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 21 hours to complete

Suggested: 8 weeks of study, 2-4 hours/week...

English

Subtitles: English

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 21 hours to complete

Suggested: 8 weeks of study, 2-4 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
1 hour to complete

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 video (Total 3 min), 6 readings
6 readings
Welcome10m
The big question10m
What you will be doing in this capstone project10m
Passing the Capstone10m
Why re-analysis?10m
Why is this so hard?10m
Week
2
1 hour to complete

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 video (Total 4 min), 3 readings
3 readings
Phenotype information10m
Getting the data from SRA10m
Which samples to use10m
Week
3
1 hour to complete

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 video (Total 7 min), 1 reading, 1 quiz
1 reading
Task 1 Instructions10m
1 practice exercise
Understand the problem18m
Week
4
2 hours to complete

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
Week
5
2 hours to complete

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
Week
6
2 hours to complete

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
Week
7
2 hours to complete

Exploratory Analysis

After summarizing your genomic data the next step is to load the data into R for analysis with Bioconductor....
1 quiz
Week
8
2 hours to complete

Statistical Analysis

The next step is to perform a statistical analysis to detect genes that are differentially expressed. ...
1 quiz
Week
9
4 hours to complete

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
Week
10
2 hours to complete

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 ReviewsChevron Right

Top Reviews

By FAJul 24th 2016

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...

By PSDec 20th 2018

An excellent challenge. Previous courses everything was neatly packaged before you start. This course teaches you how to get there.

Instructors

Avatar

Jeff Leek, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health
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Kasper Daniel Hansen, PhD

Assistant Professor, Biostatistics and Genetic Medicine
Bloomberg School of Public Health

About Johns Hopkins University

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....

About the Genomic Data Science Specialization

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....
Genomic Data Science

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • 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.

More questions? Visit the Learner Help Center.