Enjoy your transcriptomic data and analysis responsibly - like sipping a cocktail

Explore the cancer relevance of your gene list

mulea - an R package for enrichment analysis using various ontologies and empirical false discovery rate

Uncovering Amiloride's Mechanisms of Action in Multiple Myeloma: A Bioinformatics Approach

Gene Set Clustering based on Functional annotation

SmallSeqFlow: A streamlined, notebook-based bulk RNA-seq analysis pipeline optimized for small-sample studies with modular extensions.

Functional Enrichment Analysis and Network Construction

FUNC-E performs functional enrichment of gene lists. It follows a similar approach to that of DAVID

Repository for all R scripts and results associated with my research dissertation for the MSc Bioinformatics and Computational Biology degree in University College Cork, 2022.

Workflow to reduce GO bias (Gene propagation)

[R/Python] Exploring a differential expression analysis workflow in R with a Python/Streamlit implementation and machine learning integration.

List to pathway, or l2p, is an R package for gene set enrichment analysis that is optimized for speed.

RNA-seq analysis of tumour-associated CD8+ T cells in Mus musculus using DESeq2 and GSEA.

Transcriptomic differential expression and functional enrichment analyses of labial glands, fat body and gut tissues in Achroia grisella and Galleria mellonella

The MeRIP-seq data analysis tutorial is structured into four submodules, designed to comprehensively guide users through the complete workflow for RNA methylation analysis

Collection of code that maps IDs and does enrichment.

Project for the course of Network Based Data Analysis 💻

Differential Gene Expression Analysis: Normal vs UUO Mouse Models

Functional and structural enrichment for metabolomic analyses

RNA seq analysis coursework that analyses the GSE268197 datasets through differential gene expression and functional enrichment analysis