Effective data visualization strategies in untargeted metabolomics-Reference-Cited by-同舟云学术

Effective data visualization strategies in untargeted metabolomics

Published:2025 Issue:6 Volume:42 Page:982-1019
ISSN:0265-0568
Container-title:Natural Product Reports
language:en
Short-container-title:Nat. Prod. Rep.

Author:

Mildau Kevin¹^ORCID,Ehlers Henry²^ORCID,Meisenburg Mara³^ORCID,Del Pup Elena¹^ORCID,Koetsier Robert A.¹^ORCID,Torres Ortega Laura Rosina¹^ORCID,de Jonge Niek F.¹^ORCID,Singh Kumar Saurabh¹⁴⁵^ORCID,Ferreira Dora⁶^ORCID,Othibeng Kgalaletso⁷^ORCID,Tugizimana Fidele⁷^ORCID,Huber Florian⁸^ORCID,van der Hooft Justin J. J.¹⁷^ORCID

Affiliation:

1. Bioinformatics Group, Wageningen University & Research, Wageningen, The Netherlands

2. Visualization Group, Institute of Visual Computing and Human-Centered Technology, TU Wien, Vienna, Austria

3. Adaptation Physiology Group, Wageningen University & Research, Wageningen, The Netherlands

4. Maastricht University Faculty of Science and Engineering, Plant Functional Genomics Maastricht, Limburg, The Netherlands

5. Faculty of Environment, Science and Economy, University of Exeter, Penryl Cornwall, UK

6. NAICONS Srl, Milan, Italy

7. Department of Biochemistry, University of Johannesburg, Johannesburg, South Africa

8. Centre for Digitalisation and Digitality, Düsseldorf University of Applied Sciences, Düsseldorf, Germany

Abstract

Untargeted metabolomics faces researchers with complex processing, analysis, and interpretation tasks. Here, we review computational tools from the perspective of information visualization and underpin its critical role and importance to the field.

Funder

HORIZON EUROPE Marie Sklodowska-Curie Actions

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2025/NP/D4NP00039K

Reference288 articles.

1. T.Munzner , Visualization Analysis and Design , CRC Press , 2014

2. J.Matejka and G.Fitzmaurice , Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems , 2017

3. Generating data sets for teaching the importance of regression analysis

4. N.Andrienko , G.Andrienko , G.Fuchs , A.Slingsby , C.Turkay and S.Wrobel , in Visual Analytics for Investigating and Processing Data , Springer International Publishing , 2020 , pp. 151–180

5. A survey on information visualization: recent advances and challenges

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. What metabolomics has taught us about tomato fruit ripening and quality;Journal of Experimental Botany;2025-05-21

2. ClusterApp to visualize, organize, and navigate metabolomics data;2025-02-17

3. FERMO: a Dashboard for Automated Prioritization of Molecular Features from Mass Spectral Data;2022-12-22