JOURNAL ARTICLE

Visual analysis of multi-omics data

Austin SwartRon CaspiSuzanne PaleyPeter D. Karp

Year: 2024 Journal:   Frontiers in Bioinformatics Vol: 4 Pages: 1395981-1395981   Publisher: Frontiers Media

Abstract

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 Computational biology Computer science Data science Biology Bioinformatics

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FWCI (Field Weighted Citation Impact)
21
Refs
0.14
Citation Normalized Percentile
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Topics

Bioinformatics and Genomic Networks
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology
Gene expression and cancer classification
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology
Metabolomics and Mass Spectrometry Studies
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology

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