Bioinformatics Methods for Transcriptomics

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Bioinformatics Methods for Transcriptomics

Coursera · Intermediate ·🔧 Backend Engineering ·5mo ago

Key Takeaways

Covers bioinformatics methods for analyzing transcriptomic RNA sequencing data, including short read and long read sequencing

Original Description

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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