Скачать или смотреть Introduction to Transcriptomics | RNA-Seq Expression Analysis using NGS | Ep. 28

Welcome to Lecture 28 of the Bioinformatics Data Analysis using Linux, Python & R series!
In this foundational lecture, we explore the theory and workflow of transcriptomics and RNA-Seq — one of the most widely used applications of Next-Generation Sequencing (NGS) in modern biology.

🧠 What You’ll Learn:
What is Transcriptomics and how it reveals gene expression

Basics of RNA-Seq and why it's preferred over microarrays

Overview of the NGS pipeline: from raw data to differential expression

Key tools used: FastQC, STAR, HISAT2, Salmon, featureCounts, DESeq2

Biological applications: cancer, infection response, development, and more

Preparing for practical RNA-Seq tutorials in the next episodes!

This lecture is perfect for students, researchers, and beginners looking to understand how gene expression is measured and analyzed at the transcript level.

📂 Slides & notes: https://bioinfocamp.co
📺 Watch the full series playlist: [Series Playlist Link]
💬 Have questions about RNA-Seq? Ask below or join the BioInfoCamp community: [Discord/FB Group Link]

👍 Like | 💬 Comment your favorite RNA-Seq tool | 🔔 Subscribe for full transcriptomics pipeline tutorials!

#transcriptomics
#rnaSeq
#ngsdataanalysis
#bioinformatics
#geneexpression
#linuxpythonr
#rstats
#computationalbiology
#genomics
#deseq2