SMQVP: A Web Application for Spatial Metabolomics Quality Visualization and Processing
SMQVP is the first systematic approach focused on quality visualization, specifically for spatial metabolomics. It offers researchers an accessible and comprehensive solution for enhancing data integrity and mitigating the impact of technical noise, thereby improving the reliability and robustness of their spatial metabolomics findings.
Authors
- Chunlu Feng (ORCID: https://orcid.org/0009-0000-5843-6198)
- Wan Sun
- Xiaolian Ning (ORCID: https://orcid.org/0009-0002-1213-4754)
- Zhanlong Mei (ORCID: https://orcid.org/0000-0003-2203-2495)
- Yun Fu Zhao (ORCID: https://orcid.org/0000-0002-6357-9422)
- Hongchang Deng (ORCID: https://orcid.org/0000-0002-0299-0955)
- Jin Zi (ORCID: https://orcid.org/0000-0001-9224-0199)
Institutions
- BGI Group (China) (CN)
- BGI Genomics
- BGI Research (CN)
Publication Details
- Journal
- Metabolites
- Published
- 2025-05-27
- DOI
- https://doi.org/10.3390/metabo15060354
- Citations
- 3
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.42
Funders
- National Key Research and Development Program of China