This course will cover bioinformatics methods for analyzing transcriptomic RNA sequencing data generated with the short read (RNA-seq) and long read (PacBio, ONT) sequencing. In its four modules, the course addresses the core transcriptomics questions: What are the genes and transcripts expressed in a given sample or condition of an experiment?, What are their expression levels?, and What are the differences in gene expression and splicing patterns between conditions? It provides hands-on instruction on how to use popular and/or emerging tools such as STAR, PsiCLASS, DESeq2, rMATS, MntJULiP, Minimap2 and IsoQuant. This is an intermediate level course, and assumes basic knowledge on using command line bioinformatics tools in a Unix-type environment.
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September 2024
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There are 4 modules in this course
What's included
13 videos5 readings2 assignments
What's included
24 videos2 assignments
What's included
14 videos2 assignments
What's included
15 videos2 assignments
Instructor
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Recommended if you're interested in Health Informatics
Johns Hopkins University
The State University of New York
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