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.

Differential Gene Expression Analysis: Normal vs UUO Mouse Models

Project for the course of Network Based Data Analysis 💻

Collection of code that maps IDs and does enrichment.

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

Functional and structural enrichment for metabolomic analyses

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