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ORIGINAL RESEARCH article

Front. Bioinform.
Sec. Data Visualization
Volume 4 - 2024 | doi: 10.3389/fbinf.2024.1395981

Visual Analysis of Multi-Omics Data

Provisionally accepted
  • SRI International, Menlo Park, California, United States

The final, formatted version of the article will be published soon.

    We present a tool for multi-omics data analysis that enables simultaneous visualization of up to four types of omics data on organism-scale metabolic network diagrams. The tool's interactive web-based metabolic charts depict the metabolic reactions, pathways, and metabolites of a single organism as described in a metabolic pathway database for that organism; the charts are constructed using automated graphical layout algorithms.The multi-omics visualization facility paints each individual omics dataset onto a different "visual channel" of the metabolic-network diagram. For example, a transcriptomics dataset might be displayed by coloring the reaction arrows within the metabolic chart, while a companion proteomics dataset is displayed as reaction arrow thicknesses, and a complementary metabolomics dataset is displayed as metabolite node colors. Once the network diagrams are painted with omics data, semantic zooming provides more details within the diagram as the user zooms in. Datasets containing multiple time points can be displayed in an animated fashion. The tool will also graph data values for individual reactions or metabolites designated by the user.The user can interactively adjust the mapping from data value ranges to the displayed colors and thicknesses to provide more informative diagrams.

    Keywords: omics, Omics analysis, multi-omics, Multi-omics analysis, Metabolic Networks

    Received: 04 Mar 2024; Accepted: 28 Aug 2024.

    Copyright: © 2024 Swart, Caspi, Paley and Karp. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Peter D. Karp, SRI International, Menlo Park, California, United States

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.