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.
Bioinformatics Methods for Transcriptomics
Taught in English
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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
Offered by
Recommended if you're interested in Health Informatics
University of California San Diego
Fred Hutchinson Cancer Center
Peking University
University of California San Diego
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