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PaintOmics 3: a web resource for the pathway analysis and visualization of multi-omics data.
Rafael Hernández-de-Diego1, Sonia Tarazona1,2, Carlos Martínez-Mira1
1Genomics of Gene Expression Lab, Centro de Investigación Príncipe Felipe, Valencia, Spain.
Nucleic Acids Research
|May 26, 2018
Summary
PaintOmics 3 offers integrated visualization for multi-omics data, aiding biological discovery by mapping diverse molecular data onto pathways. This web tool enhances understanding of complex biological systems through interactive exploration and comprehensive analysis features.
Area of Science:
- Bioinformatics
- Computational Biology
- Systems Biology
Background:
- Multi-omics data integration presents significant analytical challenges.
- Visualizing interconnections across molecular layers is crucial for biological discovery.
- Existing tools lack comprehensive workflows for multi-omics visualization.
Purpose of the Study:
- To introduce PaintOmics 3, a web-based resource for integrated multi-omics data visualization.
- To provide a framework for interactive exploration of multi-omics information.
- To facilitate biological discoveries by leveraging multi-omic resources.
Main Methods:
- Developed a web-based platform integrating server-end data analysis with modern web visualization.
- Implemented automatic feature name/identifier conversion and multi-layered feature matching.
- Incorporated pathway enrichment, network analysis, interactive heatmaps, and trend charts.
Main Results:
- PaintOmics 3 accepts diverse omic data types (transcriptomics, proteomics, metabolomics, ATAC-seq, ChIP-seq).
- The tool provides a comprehensive pathway analysis workflow.
- Enables interactive exploration of multi-omics data integrated onto KEGG pathways.
Conclusions:
- PaintOmics 3 is a powerful, freely available tool for multi-omics data visualization and analysis.
- It empowers researchers to better understand molecular layer interconnections.
- Facilitates comprehensive biological discovery through integrated data exploration.
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