RNA-seq in R: How to Import Count Data & Metadata | Step-by-Step Tutorial (Part 1)
Автор: Data Analysis &Visualization: R & Python Tutorials
Загружено: 2025-06-29
Просмотров: 61
🧬 Welcome to Part 1 of our RNA-seq Analysis Series in R!
In this beginner-friendly video, you’ll learn how to import RNA-seq count data and metadata into R for downstream analysis using packages like DESeq2, edgeR, and tidyverse.
📌 Topics Covered in This Video:
✔️ Introduction to count matrix and metadata structure
✔️ How to read .csv or .txt count data into R
✔️ How to import sample metadata (phenodata)
✔️ Checking for data consistency (matching row and column names)
✔️ Preparing the data for DESeq2 analysis
🧪 This is the foundation step for differential expression analysis and is essential for all RNA-seq workflows.
📚 Perfect for:
MPhil/PhD Scholars
Biotech/Bioinformatics Students
R Programming Learners
RNA-seq Beginners
📥 Don’t forget to subscribe for Part 2 where we will build the DESeq2 object and run normalization!
#RNAseq #RStats #DESeq2 #Bioconductor #Bioinformatics #GeneExpression #RNAseqInR #CountMatrix #Metadata #BatchRNAseq #Transcriptomics #RforBiology
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