https://github.com/ipb-halle/metfamily
Understanding metabolism is fundamental in biomedical and plant research and the identification and quantification of thousands of metabolites by mass spectrometry in modern metabolomics is a prerequisite for elucidating this area. However, the identification of metabolites is a major bottleneck in traditional approaches hampering advances. Here, we present a novel approach for the untargeted discovery of metabolite families offering a bird's eye view of metabolic regulation in comparative metabolomics. We implemented the presented methodology in the easy-to-use web application MetFamily to enable the analysis of comprehensive metabolomics studies for all researchers worldwide. MetFamily is available under http://msbi.ipb-halle.de/MetFamily/.
https://github.com/ipb-halle/metfamily
analysis annotation comprehensive-metabolomics-studies mass-spectrometry metabolites
Last synced: 3 months ago
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Understanding metabolism is fundamental in biomedical and plant research and the identification and quantification of thousands of metabolites by mass spectrometry in modern metabolomics is a prerequisite for elucidating this area. However, the identification of metabolites is a major bottleneck in traditional approaches hampering advances. Here, we present a novel approach for the untargeted discovery of metabolite families offering a bird's eye view of metabolic regulation in comparative metabolomics. We implemented the presented methodology in the easy-to-use web application MetFamily to enable the analysis of comprehensive metabolomics studies for all researchers worldwide. MetFamily is available under http://msbi.ipb-halle.de/MetFamily/.
- Host: GitHub
- URL: https://github.com/ipb-halle/metfamily
- Owner: ipb-halle
- License: gpl-2.0
- Created: 2016-03-23T13:08:11.000Z (over 9 years ago)
- Default Branch: devel
- Last Pushed: 2025-09-01T20:40:38.000Z (3 months ago)
- Last Synced: 2025-09-01T22:25:17.540Z (3 months ago)
- Topics: analysis, annotation, comprehensive-metabolomics-studies, mass-spectrometry, metabolites
- Language: R
- Homepage: http://ipb-halle.github.io/MetFamily/
- Size: 44.4 MB
- Stars: 12
- Watchers: 9
- Forks: 8
- Open Issues: 17
-
Metadata Files:
- Readme: README.md
- Changelog: NEWS
- License: LICENSE.md
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README
# MetFamily 
[](https://github.com/ipb-halle/MetFamily/actions/workflows/build.yml)
## Overview
Understanding metabolism is fundamental in biomedical and plant research and the
identification and quantification of thousands of metabolites by mass
spectrometry in modern metabolomics is a prerequisite for elucidating this area.
However, the identification of metabolites is a major bottleneck in traditional
approaches hampering advances. Here, we present a novel approach for the
untargeted discovery of metabolite families offering a bird's eye view of
metabolic regulation in comparative metabolomics. We implemented the presented
methodology in the easy-to-use web application MetFamily to enable the analysis
of comprehensive metabolomics studies for all researchers worldwide.
## Using MetFamily
The MetFamily web application is available at
https://msbi.ipb-halle.de/MetFamilyDevel/.
It runs inside a Kubernetes cluster at the
[Leibniz Institute of Plant Biochemistry (IPB)](https://www.ipb-halle.de/en/).
The release version described in [Treutler et al., 2016](https://pubs.acs.org/doi/10.1021/acs.analchem.6b01569) is hosted at https://msbi.ipb-halle.de/MetFamily/.
### Local installation of the R Package
The MetFamily R package can be installed using:
```
remotes::install_github("ipb-halle/MetFamily")
```
After installation, you can run the interactive application locally:
```
library(MetFamily)
runMetFamily()
```
Or use an R script to process your analysis. See our vignette [Discovering regulated Metabolite Families](https://ipb-halle.github.io/MetFamily/articles/discoveringregulatedmetabolitefamilies.html).
## Development
MetFamily is under active development. Let us know if you run into issues.
Documentation for developers is stored in the `dev` folder.