xOmicsShiny

xOmicsShiny enables cross-omics data analysis and pathway mapping through interactive modules for data exploration, gene set enrichment, and network analysis across transcriptomics, proteomics, metabolomics, and lipidomics datasets.

Key Features:

• Cross-omics data merging: Supports flexible exploration of transcriptomics, proteomics, metabolomics, and lipidomics data across experiments and data types.
• Pathway mapping: Covers WikiPathways, Reactome, and KEGG pathways for biological insight discovery at the pathway level.
• Visualization and analysis modules: Includes PCA, Volcano plot, Venn Diagram, Heatmap, WGCNA, and advanced clustering analyses with customizable modules generating interactive plots and publication-ready figures.
• Gene set enrichment: Provides analytical capabilities for pathway-level biological interpretation.
• Network analysis: Enables network-based exploration of omics data relationships.

Scientific Applications:

• Multi-omics integration: Facilitates comprehensive understanding of biological processes by combining transcriptomics, proteomics, metabolomics, and lipidomics data.
• Pathway-level biological discovery: Uncovers biological insights through mapping to WikiPathways, Reactome, and KEGG databases.
• Cross-experimental omics exploration: Enables biologists to fully explore omics datasets across different experiments and data types.

Methodology:

xOmicsShiny employs a dynamic, modular design in R Shiny with customizable modules for various analytical tasks.