Visualization of omics data


High-throughput (HT) studies of complex biological systems generate a massive amount of omics data. The results are typically summarized using spreadsheet like file formats. Visualization of this data is a key aspect of both, the analysis and the understanding of biological systems under investigation. While users have many visualization methods and tools to choose from, the challenge is to properly handle these tools and create clear, meaningful, and integrated visualizations based on pre-processed datasets.

Main features

  • Visualization for all kinds of omics data
  • Easy to setup R shiny app
  • Shiny modules allow to generate individual visualization frameworks
  • Universal file format

I’m a demo server

WIlsON: Webbased Interactive Omics visualizatioN

The WIlsON R package employs the R Shiny and Plotly web-based frameworks using a client-server based approach comprising a range of interface and plotting modules. These can be joined to allow a user to select a meaningful combination of parameters for the creation of various plot types (e.g. bar, box, line, scatter, heat). The modular setup of elements assures a concise code base and simplifies maintenance. An app thus created can be mounted on an R Shiny Server or inside R Studio. Data must be supplied server-side using a custom tab-delimited format derived from the SummarizedExperiment format (Clarion) and can principally originate from any analysis (e.g. RNA-Seq, ChIP-Seq, Mass Spectrometry, Microarray) that results in numeric data (e.g. count, score, log2foldchange, zscore, pvalue) attributed to a feature (e.g. gene, transcript, probe, protein).