Researcher's guide to RNA sequencing data
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Researcher's guide to RNA sequencing data
This course is part of Researcher's Guide to Omic Data Specialization
Instructor: Candace Savonen, MS
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What you'll learn
You will understand the goals and general workflows associated with your RNA focused data as well as tools and resources you should consider.
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There are 5 modules in this course
This course is a follow up course to "Choosing genomics tools" which dives into further detail about RNA informatics methods!
This course is for individuals who: - Have taken Researcher's Guide to Fundamentals of Omic Data - Have RNA data and don’t know what to do with it. - Want a basic overview of their RNA focused data type. - Want to find resources for processing and interpreting RNA data What this course will cover: - Fundamentals of RNA methods. - Resources you may consider looking into for your own purposes. - Questions you should ask yourself and your colleagues about your goals and experimental design. What this course will NOT cover: - Code needed to process your data. - Details about every type of experimental design. - Everything you’d need to know to make you a computational biologist. In other words we still highly encourage you to consult your informatics and computational colleagues, especially those who may have done any handling of data you are trying to learn about.
In this first module we introduce the goals of this course an do an overview of the available methods for RNA methods, otherwise known as gene expression.
What's included
3 videos1 reading2 assignments1 discussion prompt
3 videos•Total 4 minutes
- Welcome!•1 minute
- Intro to this course•1 minute
- RNA Overview•2 minutes
1 reading•Total 15 minutes
- RNA Overview•15 minutes
2 assignments•Total 13 minutes
- RNA Overview•5 minutes
- RNA Overview•8 minutes
1 discussion prompt•Total 10 minutes
- What are your goals for this course?•10 minutes
In this module we dive into Bulk RNA-seq methods for evaluating gene expression of tissue.
What's included
1 video2 readings2 assignments1 discussion prompt
1 video•Total 4 minutes
- Bulk RNA-seq Overview•4 minutes
2 readings•Total 31 minutes
- Video: Gentle introduction to RNA-seq•16 minutes
- Bulk RNA-seq•15 minutes
2 assignments•Total 17 minutes
- Bulk RNA-seq•5 minutes
- Bulk RNA-seq Quiz•12 minutes
1 discussion prompt•Total 10 minutes
- Imagine a bulk RNA-seq study•10 minutes
In this module we dive into single cell RNA-seq methods for evaluating gene expression of single cells.
What's included
1 video2 readings2 assignments1 discussion prompt
1 video•Total 2 minutes
- Single Cell RNA-seq Overview•2 minutes
2 readings•Total 20 minutes
- Video: Tag-based Single Cell Sequencing•5 minutes
- Single-cell RNA-seq•15 minutes
2 assignments•Total 15 minutes
- Single Cell RNA-seq•5 minutes
- Single Cell RNA-seq Quiz•10 minutes
1 discussion prompt•Total 10 minutes
- Imagine a Single Cell RNA-seq Study•10 minutes
In this module we dive into gene expression of tissue but with spatial information.
What's included
1 video2 readings2 assignments1 discussion prompt
1 video•Total 2 minutes
- Spatial Transcriptomics Overview•2 minutes
2 readings•Total 21 minutes
- Video: Spatial Transcriptomics•6 minutes
- Spatial Transcriptomics•15 minutes
2 assignments•Total 15 minutes
- Spatial Transcriptomics•5 minutes
- Spatial Transcriptomics Quiz•10 minutes
1 discussion prompt•Total 10 minutes
- Imagine a Spatial Transcriptomics Study•10 minutes
To wrap up this course, we have a quick section about gene expression microarrays before we wrap up the course with a final course knowledge check.
What's included
3 readings1 assignment1 discussion prompt
3 readings•Total 21 minutes
- A Place for Gene Expression Microarrays•15 minutes
- Tool Glossary•4 minutes
- About the authors•2 minutes
1 assignment•Total 30 minutes
- Final Course Knowledge Check•30 minutes
1 discussion prompt•Total 10 minutes
- Explore microarray data•10 minutes
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Reviewed on Sep 2, 2025
Useful overview, but sometimes the links didn't work and the quiz questions were wrong.
Reviewed on Jan 19, 2025
very informative and helpful to improve RNA Seq skill
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