Extract RNA Expression Counts | featureCounts & HTSeq | RNA-Seq Pipeline Ep. 35

Описание: Welcome to Lecture 35 of the Bioinformatics Data Analysis using Linux, Python & R series!
In this lecture, we focus on feature extraction from alignment files to obtain a gene count matrix using popular tools like featureCounts and HTSeq-count.

This is the key step that connects aligned reads to gene expression values — powering downstream differential expression and pathway analysis.

🧠 What You’ll Learn:
What is feature extraction in RNA-Seq analysis

Introduction to GTF/GFF annotation files

Using featureCounts for quantifying reads mapped to features (genes)

Alternative: using HTSeq-count

Generating and interpreting the count matrix

Best practices for stranded vs unstranded data

Preparing input files for DESeq2 or edgeR

📂 Command examples + sample GTF/BAM files: https://bioinfocamp.co
📺 Watch the full RNA-Seq series here: [Series Playlist Link]
💬 Questions about featureCounts? Drop them below or join our forum: [Discord/FB Group Link]

👍 Like | 💬 Share which tool you prefer: featureCounts or HTSeq? | 🔔 Subscribe for DESeq2 & visualization tutorials!

#rnaseq
#featurecounts
#htseq
#rnaexpression
#countmatrix
#bioinformatics
#linuxpythonr
#transcriptomics
#ngsdata
#genomics