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RNASeq Analysis - Differential Expressed Genes from FastQ

LiquidBrain Bioinformatics via YouTube

Overview

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This course demonstrates a local RNA-seq workflow in R, starting with raw FASTQ files, mapping reads with Rsubread, creating count tables, and identifying differentially expressed genes with DESeq2. It also introduces experimental design, contrasts, dispersion plots, and result interpretation.

Syllabus

Intro
Installation
Column Data
Row Names
Dispersion
Contrast
Recap

Taught by

LiquidBrain Bioinformatics

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