Genomics of Gene Expression Lab, Centro de Investigación Príncipe Felipe, Valencia, Spain.
Department of Applied Statistics, Operations Research and Quality, Universitat Politècnica de València, Spain.
Nucleic Acids Res. 2018 Jul 2;46(W1):W503-W509. doi: 10.1093/nar/gky466.
The increasing availability of multi-omic platforms poses new challenges to data analysis. Joint visualization of multi-omics data is instrumental in better understanding interconnections across molecular layers and in fully utilizing the multi-omic resources available to make biological discoveries. We 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. Unlike other visualization tools, PaintOmics 3 covers a comprehensive pathway analysis workflow, including automatic feature name/identifier conversion, multi-layered feature matching, pathway enrichment, network analysis, interactive heatmaps, trend charts, and more. 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 www.paintomics.org.
多组学平台的日益普及给数据分析带来了新的挑战。多组学数据的联合可视化有助于更好地理解分子层面之间的相互联系，并充分利用现有的多组学资源来进行生物学发现。我们在此介绍了 PaintOmics 3，这是一个基于网络的资源，用于将多种组学数据类型集成到 KEGG 途径图上进行可视化。PaintOmics 3 将服务器端的数据分析功能与现代网络资源的数据可视化潜力相结合，为研究人员提供了一个强大的框架，用于交互式探索他们的多组学信息。与其他可视化工具不同，PaintOmics 3 涵盖了全面的途径分析工作流程，包括自动特征名称/标识符转换、多层次特征匹配、途径富集、网络分析、交互式热图、趋势图等。它接受多种组学类型，包括转录组学、蛋白质组学和代谢组学，以及基于区域的方法，如 ATAC-seq 或 ChIP-seq 数据。该工具可在 www.paintomics.org 上免费获得。
