Скачать или смотреть FASTQ Quality Check using FastQC | RNA-Seq Data Preprocessing | Ep. 31

Welcome to Lecture 31 of the Bioinformatics Data Analysis using Linux, Python & R series!
In this session, we perform quality control (QC) of raw FASTQ files using FastQC, an essential first step in any RNA-Seq or NGS pipeline.

🔬 What You’ll Learn:
What is FastQC and why it’s important for RNA-Seq

How to install and run FastQC on FASTQ files (Linux/Windows)

Understanding the FastQC HTML reports:

Per base quality

GC content

Adapter content

Overrepresented sequences

How to interpret warning or fail flags

Best practices for deciding if trimming is needed

After this lecture, you'll be able to confidently check and interpret the quality of your RNA-Seq or NGS data before proceeding to alignment or quantification.

📂 Sample data + FastQC output example: https://bioinfocamp.co
📺 Full course playlist: [Series Playlist Link]
💬 Ask questions in the comments or join our support group: [Discord/FB Group Link]

👍 Like | 💬 Share your FastQC results | 🔔 Subscribe to follow the full RNA-Seq pipeline!

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#rnaseq
#ngsdata
#bioinformatics
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#linuxpythonr
#transcriptomics
#biostatistics
#genomics