ChemGenXplore: an interactive tool for exploring and analysing chemical genomic data
Huda Ahmad, Hannah M Doherty, Sam T Benedict, James R J Haycocks, Ge Zhou, Patrick J Moynihan, Danesh Moradigaravand, Manuel Banzhaf
TL;DR
ChemGenXplore is a web-based tool that helps researchers explore and analyze large chemical genomic datasets more easily and collaboratively.
Contribution
The novel contribution is an integrated, interactive platform for visualizing and analyzing chemical genomic data with built-in collaboration features.
Findings
ChemGenXplore enables visualization of phenotypic profiles and gene–gene/condition–condition correlations.
The tool supports GO and KEGG enrichment analysis and generates interactive heatmaps.
It promotes data sharing and reproducibility through a unified web-based interface.
Abstract
Chemical genomics is a powerful high-throughput approach to systematically link phenotypes to genotypes. However, the vast datasets generated remain challenging to explore due to the lack of integrated, interactive tools for visualization and analysis. Existing workflows often require multiple independent software tools, limiting data accessibility and collaboration. Therefore, we created a user-friendly platform that enables efficient exploration and sharing of chemical genomics data. We developed ChemGenXplore, a web-based Shiny application designed to streamline the visualization and analysis of chemical genomic screens. It offers two primary functionalities: one for exploring pre-implemented datasets and another for analysing user-uploaded datasets. ChemGenXplore enables users to visualize phenotypic profiles, assess gene–gene and condition–condition correlations, perform GO and…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsMachine Learning in Materials Science · Bioinformatics and Genomic Networks · Scientific Computing and Data Management