A shiny application to perform differential gene expression analysis of count data using DESeq2. The app also allows unsupervised exploration of data using PCA and hierarchical clustering.

Scripts for the complete analysis pipeline: 1) generation of the count table; 2) annotation of the count-table and differential gene expression analysis; 3) Weighted Gene Coexpression Network Analysis; and, 4) the functional annotation (hypergeometric test) of the hits.

Automated pipeline for RNAseq data analysis using nextflow and singularity.

This study aims to figure out what is highly differentially expressed genes between Banff acute T-cell mediated rejection (TCMR) and normal kidney allograft biopsy specimens.

Simple Snakemake RNA-Seq pipeline

Simple Nextflow RNA-Seq pipeline

main Repository for my Master's Thesis work

RNA-seq Differential Gene Expression (DGE) analysis comparing multiple dataset samples involves the comparison of gene expression levels across multiple samples with the possibliity to account for defined conditions, treatments, or groups.