MetaboMAPS: Pathway sharing and multi-omics data visualization in metabolic context

Julia Koblitz; Dietmar Schomburg; Meina Neumann-Schaal

doi:10.12688/f1000research.23427.2

MetaboMAPS: Pathway sharing and multi-omics data visualization in metabolic context

F1000Res. 2020 Apr 24:9:288. doi: 10.12688/f1000research.23427.2. eCollection 2020.

Authors

Julia Koblitz^{1

2}, Dietmar Schomburg^{1

2}, Meina Neumann-Schaal^{2

3}

Affiliations

¹ Department of Bioinformatics and Biochemistry, Technische Universität Braunschweig, Braunschweig, 38106, Germany.
² Braunschweig Integrated Centre of Systems Biology, Technische Universität Braunschweig, Braunschweig, 38106, Germany.
³ Leibniz-Institut DSMZ - German Collection of Microorganisms and Cell Cultures, Braunschweig, 38124, Germany.

Abstract

Metabolic pathways are an important part of systems biology research since they illustrate complex interactions between metabolites, enzymes, and regulators. Pathway maps are drawn to elucidate metabolism or to set data in a metabolic context. We present MetaboMAPS, a web-based platform to visualize numerical data on individual metabolic pathway maps. Metabolic maps can be stored, distributed and downloaded in SVG-format. MetaboMAPS was designed for users without computational background and supports pathway sharing without strict conventions. In addition to existing applications that established standards for well-studied pathways, MetaboMAPS offers a niche for individual, customized pathways beyond common knowledge, supporting ongoing research by creating publication-ready visualizations of experimental data.

Keywords: Data Visualization; Metabolic Maps; Metabolism; Omics Data; Pathways; SVG; Systems Biology.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Data Visualization*
Metabolic Networks and Pathways*
Metabolomics*
Software*
Systems Biology

Grants and funding

This work has been supported by the e:Bio initiative, HotSysAPP [031L0078E].