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.

An automated pipeline for RNAseq data analysis using nextflow and singularity.

An advanced computational biology project aimed at analyzing causal networks of space-induced neurodegeneration in mice using NASA's OSD-352 dataset and PC algorithm; Ultimately mapping findings to human genes for insights into neurodegenerative diseases and space health.

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.

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 Nextflow RNA-Seq pipeline

Simple Snakemake RNA-Seq pipeline

Comprehensive RNA-seq analysis of KIRP samples from TCGA. Includes preprocessing, protein-coding gene filtering, differential expression analysis, visualization, gene set enrichment, transcription factor motif analysis, and protein-protein interaction network exploration.

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.

main Repository for my Master's Thesis work