Researcher's guide to omic fundamentals

Grow your skills with Coursera Plus for $239/year (usually $399). Save now.

Researcher's guide to omic fundamentals

This course is part of Researcher's Guide to Omic Data Specialization

Instructor: Candace Savonen, MS

1,829 already enrolled

Included with

Learn more

5 modules

Gain insight into a topic and learn the fundamentals.

18 reviews

Intermediate level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

5 modules

Gain insight into a topic and learn the fundamentals.

18 reviews

Intermediate level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

By the end of the course you will confidently be able to use tutorials and resources to understand and interpret your genomic data.

Skills you'll gain

Tools you'll learn

R Programming

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

15 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Build your subject-matter expertise

This course is part of the Researcher's Guide to Omic Data Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 5 modules in this course

The course is intended for students in the biomedical sciences and researchers who have been given data and don’t know what to do with it or would like an overview of the different genomic data types that are out there.

This course is written for individuals who: - Have genomic data and don’t know what to do with it. - Want a basic overview of genomic data types. - Want to find resources for processing and interpreting genomics data. Goal of this course: Equip learners with tutorials and resources so they can understand and interpret their genomic data in a way that helps them meet their goals and handle the data properly. This includes helping learners formulate questions they will need to ask others about their data What is not the goal Teach learners about choosing parameters or about the ins and outs of every genomic tool they might be interested in. This course is meant to connect people to other resources that will help them with the specifics of their genomic data and help learners have more efficient and fruitful discussions about their data with bioinformatic experts. The course is intended for students in the biomedical sciences who have been given data and don’t know what to do with it or would like an overview of the different genomic data types that are out there.

In this module, we cover the basics of what will be covered in this course and what you should expect. Next we get into an overview of what omic data types and their workflows often look like.

What's included

3 videos3 readings2 assignments1 discussion prompt

3 videos Total 5 minutes

Welcome! 2 minutes
Intro to this course 1 minute
Summary: Overview of genomic workflows 2 minutes

3 readings Total 15 minutes

Introduction 5 minutes
Video Review of What is a Genome 5 minutes
A very general overview of genomic data 5 minutes

2 assignments Total 11 minutes

A very general overview of genomic data 5 minutes
A very general overview of genomic data 6 minutes

1 discussion prompt Total 10 minutes

What are your goals for this course? 10 minutes

In this module, we cover some considerations for how to choose between different omics tools. Then we talk about what is metadata and how do you make sure you get the most of your metadata?

What's included

2 videos2 readings4 assignments2 discussion prompts

2 videos Total 3 minutes

Summary: Considerations for choosing tools 1 minute
Summary: Guidelines for Good Metadata 2 minutes

2 readings Total 10 minutes

Considerations for choosing tools 5 minutes
Guidelines for Good Metadata 5 minutes

4 assignments Total 37 minutes

Considerations for choosing tools 5 minutes
Guidelines for Good Metadata 5 minutes
Considerations for choosing tools 15 minutes
Guidelines for Good Metadata 12 minutes

2 discussion prompts Total 10 minutes

Considerations for your project 5 minutes
Good Metadata Manuscript 5 minutes

In this module, we build on the previous module's generalities about omic data and get into specifics about sequencing data and microarray data.

What's included

2 videos2 readings4 assignments

2 videos Total 5 minutes

Summary: Fundamentals of Sequencing Data 2 minutes
Summary: Fundamentals of Microarray Data 3 minutes

2 readings Total 17 minutes

Sequencing Data 10 minutes
Fundamentals of Microarray Data 7 minutes

4 assignments Total 36 minutes

Sequencing Data 5 minutes
Fundamentals of Microarray Data 5 minutes
Sequencing Data 20 minutes
Fundamentals of Microarray Data 6 minutes

In this module, we discuss what are general data analysis tools you may want to consider using. Lastly we cover some basics about annotation that are involved in every omic data analysis workflow.

What's included

1 video3 readings4 assignments

Now that you've learned some fundamentals about omic data, in this section we have a final quiz that tests your absorption of what we've discussed. We also have a Tool Glossary of recommended tools you may want to consider using for your next steps with your omic data.

What's included

1 video2 readings1 assignment

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Instructor ratings

(5 ratings)

Candace Savonen, MS

Fred Hutchinson Cancer Center

13 Courses 8,620 learners

Offered by

Fred Hutchinson Cancer Center

Explore more from Data Analysis

Fred Hutchinson Cancer Center
Researcher's guide to DNA sequencing data
Course
Fred Hutchinson Cancer Center
Researcher's guide to RNA sequencing data
Course
Johns Hopkins University
Introduction to Genomic Technologies
Course
Fred Hutchinson Cancer Center
Researcher's Guide to Omic Data
Specialization

Why people choose Coursera for their career

Felipe M.

Learner since 2018

"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020

"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021

"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Learn more

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Explore degrees

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Learn more

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. 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.

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.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.