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BioinformaticsNucleic Acids Research
Peer-reviewed journal article

PaintOmics 3: a web resource for the pathway analysis and visualization of multi-omics data

Rafael Hernández-de-DiegoiD, Sonia TarazonaiD, Carlos Martínez-Mira, Leandro Balzano‐Nogueira, Pedro Furió‐Tarí, Georgios Joannis Pappas JriD, Ana ConesaiD

Abstract

The increasing availability of multi-omic platforms poses new challenges to data analysis. Joint visualization of multi-omics data is instrumental to understand interconnections across molecular layers and to fully leverage the biology discovery power offered by the multi-omics approach.\n\nWe present here PaintOmics 3, a web-based resource for the integrated visualization of multiple omic data types onto KEGG pathway diagrams. PaintOmics 3 combines server-end capabilities for data analysis with the potential of modern web resources for data visualization, providing researchers with a powerful framework for interactive exploration of their multi-omics information.\n\nUnlike other visualization tools, PaintOmics 3 covers a complete pathway analysis workflow, including automatic feature name/identifier conversion, multi-layered feature matching, pathway enrichment, network analysis, interactive heatmaps, trend charts, etc. It accepts a wide variety of omic types, including transcriptomics, proteomics and metabolomics, as well as region-based approaches such as ATAC-seq or ChIP-seq data. The tool is freely available at http://bioinfo.cipf.es/paintomics/.

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