Go to Course: https://www.coursera.org/learn/researchers-guide-to-rna-sequencing-data
You will understand the goals and general workflows associated with your RNA focused data as well as tools and resources you should consider.
Introduction
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.
Bulk RNA-seqIn this module we dive into Bulk RNA-seq methods for evaluating gene expression of tissue.
Single Cell RNA-seqIn this module we dive into single cell RNA-seq methods for evaluating gene expression of single cells.
Spatial TranscriptomicsIn this module we dive into gene expression of tissue but with spatial information.
Wrapping UpTo 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.
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
very informative and helpful to improve RNA Seq skill