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Bioinformatics Methods for Transcriptomics

By Coursera on Coursera · Data Science
Price
Free

About This 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.

Instructor

Liliana Florea

Frequently Asked Questions

How much does Bioinformatics Methods for Transcriptomics cost?
Visit the Bioinformatics Methods for Transcriptomics course page for current pricing and available discounts.
Who teaches Bioinformatics Methods for Transcriptomics?
Bioinformatics Methods for Transcriptomics is taught by Liliana Florea, PhD, Johns Hopkins University.
What skill level is Bioinformatics Methods for Transcriptomics for?
This course is designed for intermediate learners.