Bioconductor in Action: From Code to Biological Insight

This repository showcases my applied learning from DataCamp’s “Introduction to Bioconductor in R” course.

It includes R scripts and a visual summary (PDF carousel) demonstrating key skills in genomic data analysis and visualization.

🔬 Course Chapters

1. What is Bioconductor?
2. Biostrings and When to Use Them
3. IRanges and GenomicRanges
4. Introducing ShortRead

🧠 Key Learnings

• Efficient installation and management of Bioconductor packages
• Sequence manipulation using Biostrings (Zika virus dataset)
• Genomic interval analysis with GenomicRanges (ABCD1 gene)
• Quality control of FASTQ files using ShortRead

📊 Repository Content

File	Description
01_BiocManager_Setup.R	Installing and managing Bioconductor packages
02_Biostrings_ZikaVirus.R	DNA/RNA translation and pattern matching
03_GenomicRanges_ABCD1.R	Extracting and analyzing gene intervals
04_ShortRead_QC.R	Sequence quality assessment
Bioconductor_in_Action_Md Abrar Faiyaj.pdf	Visual summary shared on LinkedIn

🙏 Acknowledgements

Special thanks to DataCamp, and instructors James Chapman and Paula Martinez, for an excellent and practical introduction to Bioconductor in R. 🔗 View my LinkedIn post and visual summary: LinkedIn Post