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Bioinformatics Case Study

DMD vs WT RNA-seq Analysis Pipeline (Nextflow DSL2)

Reproducible single-end RNA-seq analysis workflow built with Nextflow DSL2

Problem

This project uses a public DMD vs WT mouse RNA-seq dataset and turns raw sequencing inputs into a structured, reproducible computational biology workflow.

The pipeline is implemented in Nextflow DSL2 and designed for reproducibility, maintainability, and transparent computational reporting.

It processes single-end RNA-seq reads from raw FASTQ through quality control, trimming, transcript quantification, and final expression matrix generation for downstream comparative analysis.

Pipeline

FASTQ
FastQC
fastp
Salmon
MultiQC
Expression Matrix

Dataset Information

GEO: GSE156496

SRA: SRP278118

Biological context: WT vs DMD DeltaEx51 mouse tibialis anterior muscle RNA-seq

Analysis

Expression matrix generation for all samples

TPM-based comparison between WT and DMD groups

PCA and heatmap visualization for downstream transcriptomics analysis

TPM-based gene expression comparison for downstream review

Fully reproducible end-to-end workflow execution

Reproducibility

Nextflow DSL2
Conda
Git / GitHub
Python
pandas
FastQC
fastp
Salmon
MultiQC

Project Metrics

4RNA-seq samples
Publicreal FASTQ dataset
Automatedpipeline orchestration
End-to-endreproducibility