MS1FA: Shiny App for the Annotation of Redundant Features in Untargeted Metabolomics Datasets
MS1FA is freely accessible at https://ms1fa.helmholtz-hzi.de. The source code and data are available at https://github.com/RuibingS/MS1FA_RShiny_dashboard and are archived with the DOI 10.5281/zenodo.15118962.
Authors
- Mark Brönstrup (ORCID: https://orcid.org/0000-0002-8971-7045)
- Ruibing Shi
- Frank Klawonn (ORCID: https://orcid.org/0000-0001-9613-182X)
- Raimo Franke (ORCID: https://orcid.org/0000-0002-5407-5521)
Institutions
- Leibniz University Hannover (DE)
- Ostfalia University of Applied Sciences (DE)
- German Center for Infection Research (DE)
- Helmholtz Centre for Infection Research (DE)
Publication Details
- Journal
- Bioinformatics
- Published
- 2025-04-15
- DOI
- https://doi.org/10.1093/bioinformatics/btaf161
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00