ChemGenXplore: an interactive tool for exploring and analysing chemical genomic data.

Area of Science:

• Genomics
• Chemical Biology
• Bioinformatics

Background:

• Chemical genomics links phenotypes to genotypes using high-throughput screening.
• Exploring large chemical genomics datasets is challenging due to a lack of integrated tools.
• Existing workflows often require multiple disparate software, hindering accessibility and collaboration.

Purpose of the Study:

• To develop a user-friendly platform for efficient exploration and sharing of chemical genomics data.
• To streamline the visualization and analysis of chemical genomic screens.
• To facilitate collaborative research by enabling comparative analysis of different omics datasets.

Main Methods:

• Developed ChemGenXplore, a web-based Shiny application.
• Implemented functionalities for exploring pre-loaded and user-uploaded datasets.
• Integrated tools for phenotypic profile visualization, correlation analysis, enrichment analysis, and interactive heatmap generation.

Main Results:

• ChemGenXplore provides integrated visualization and analysis of chemical genomic screens.
• The platform enables users to explore phenotypic profiles, assess correlations, and perform enrichment analyses.
• It facilitates comparative analysis of chemical genomic and other omics data, enhancing data sharing and reproducibility.

Conclusions:

• ChemGenXplore consolidates essential features into a single, accessible tool.
• The platform promotes collaboration and reproducibility in chemical genomics research.
• ChemGenXplore is freely available as a web application with source code and documentation provided.