Genomics Analysis with Python | Process GFF, BED, VCF & FASTA | Bioinformatics Ep. 15

Welcome to Lecture 15 of the Bioinformatics Data Analysis using Linux, Python & R series! In this session, we focus on genomics analysis using Python, working with real genome data formats like GFF, BED, VCF, and FASTA using specialized bio-libraries. 🔍 What You’ll Learn: Parsing genomic annotation files with gffutils Reading and manipulating VCF files using pysam or cyvcf2 Accessing genomic intervals from BED files with pybedtools Mapping variants to gene features Combining data across formats for real-world analysis workflows Whether you’re investigating SNPs, structural variants, or gene annotations — this lecture shows you how to bring Python into your genomics research. 📦 Sample scripts and resources: https://bioinfocamp.co 📺 Full course playlist: [Series Playlist Link] 💬 Get support or share your scripts: [Discord/FB Group Link] 👍 Like | 💬 Comment which format you work with | 🔔 Subscribe for full hands-on bioinformatics training #genomics #bioinformatics #vcf #gff #bed #pythonforbioinformatics #genomeanalysis #snpanalysis #linuxpythonr #computationalgenomics