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Researcher's guide to omic fundamentals

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Researcher's guide to omic fundamentals

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

Instructor: Candace Savonen, MS

1,943 already enrolled

Included with

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5 modules

Gain insight into a topic and learn the fundamentals.

19 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.

19 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

91% of learners achieved a positive career outcome

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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.

Module details

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 videosTotal 5 minutes

Welcome!2 minutes
Intro to this course1 minute
Summary: Overview of genomic workflows2 minutes

3 readingsTotal 15 minutes

Introduction5 minutes
Video Review of What is a Genome5 minutes
A very general overview of genomic data 5 minutes

2 assignmentsTotal 11 minutes

A very general overview of genomic data 6 minutes
A very general overview of genomic data5 minutes

1 discussion promptTotal 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 videosTotal 3 minutes

Summary: Considerations for choosing tools1 minute
Summary: Guidelines for Good Metadata2 minutes

2 readingsTotal 10 minutes

Considerations for choosing tools5 minutes
Guidelines for Good Metadata5 minutes

4 assignmentsTotal 37 minutes

Considerations for choosing tools15 minutes
Guidelines for Good Metadata12 minutes
Considerations for choosing tools5 minutes
Guidelines for Good Metadata5 minutes

2 discussion promptsTotal 10 minutes

Considerations for your project5 minutes
Good Metadata Manuscript5 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 videosTotal 5 minutes

Summary: Fundamentals of Sequencing Data2 minutes
Summary: Fundamentals of Microarray Data3 minutes

2 readingsTotal 17 minutes

Sequencing Data10 minutes
Fundamentals of Microarray Data7 minutes

4 assignmentsTotal 36 minutes

Sequencing Data20 minutes
Fundamentals of Microarray Data6 minutes
Sequencing Data5 minutes
Fundamentals of Microarray Data5 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.