Assalam-o-Alaikum researchers and bioinformatics enthusiasts! Welcome back to Part-2 of our complete Ribosome Profiling (Ribo-Seq) series on Codanics!

Pichli video mein humne Ribo-Seq ki theory aur RNA-Seq ke sath iska comparison samjha tha. Aaj ki is mega 2-hour masterclass mein, hum seedha practical data analysis ki taraf jayenge!

Is session mein hum NF Core Ribo-seq Pipeline aur Nextflow ko use karte hue real raw data (FASTQ files) ko process karna seekhenge. Iske sath hi hum AI (Claude Code) ki madad se analysis scripts generate karenge, GTF/FASTQ errors ko live troubleshoot karenge, aur Differential Expression Analysis perform karenge. Yeh video un sab students aur researchers ke liye goldmine hai jo NGS data analysis mein expert banna chahte hain!

Bioinformatics Ka Chilla (Complete Course):
Agar aap Genetics, NGS, aur Bioinformatics ko basic se advanced level tak step-by-step seekhna chahte hain, toh hamare mukammal course ko yahan access karein:
https://codanics.com/courses/bioinformatics-ka-chilla/

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⏱ Video Chapters & Timestamps:
00:00 - NF Core Ribo-seq Pipeline Introduction
00:59 - Claude Code Prompting for NF Core Pipeline
09:10 - What Claude Code Produced
10:52 - Simple Script Building for Ribo-seq Analysis
12:36 - Installation Using Bioconda and Nextflow
17:40 - Genome and Annotation File Importance
27:52 - Checking Script and Reading Errors
34:12 - Download Raw Data for Analysis (FASTQ Files)
41:15 - Errors in FASTQ Files and Redownload Needed
48:33 - GTF File of Genome Annotation Fixes
53:30 - Tips to Fix GTF Errors
55:55 - Pipeline Outputs are Ready to be Understood
01:25:21 - Differential Expression Analysis Script
01:54:23 - Differential Expression Analysis Script Output
01:59:22 - Retaining Simple Ribo-seq Codes and Creating Guide
02:00:44 - Reading Results from NF Core Ribo-seq Pipeline
02:01:51 - Complete Guidebook and Scripts