Bioinformatics Methods for Transcriptomics
Johns Hopkins University · View on Coursera ↗
Taught by Liliana Florea, PhD
HealthData Science
About the course
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.
The dissent
The most-upvoted critical review (no upvotes, 3.0★).
“the resource person should have practised well, before giving the lecture. Too much of "umm"s and "mmm"s in the lecture, making it difficult to follow through, even though the content is good”
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Reviews read on 23 Oct 2026.Read them on Coursera ↗