fermo
fermo integrates liquid chromatography-tandem mass spectrometry (LC-MS) metabolomics data with phenotype information, sample grouping, and genomic data to prioritize and rank molecular features associated with phenotypic traits.
Key Features:
- Automated Data Processing: Streamlines handling and organization of large-scale LC-MS metabolomics datasets through automated processing steps.
- Annotation and Integration: Performs annotation of molecular features and integrates LC-MS data with phenotype, sample grouping, and genomic data.
- Feature Extraction and Ranking: Extracts molecular features and applies reproducible prioritization and ranking based on phenotypic relevance.
- Data Filtering: Enables filtering of features and samples according to specified criteria to refine analyses.
- Modular Framework: Provides a modular architecture that automates processing, annotation, and integration workflows.
- Exploratory and Targeted Analysis Support: Supports both exploratory analyses and targeted hypothesis-driven prioritization of molecules.
- Visualization of Feature–Phenotype Interactions: Generates visualizations that relate molecular features to phenotypes for interpretation.
Scientific Applications:
- Bioactive Compound Identification: Benchmarking studies to identify bioactive compounds from complex biological matrices.
- Natural Product Drug Discovery: Prioritization of candidate molecules in natural product discovery workflows.
- Microbiology: Linking metabolite features to microbial phenotypes and biological function.
- Agricultural Research: Identifying molecular underpinnings of phenotypic variation in agricultural studies.
- Phenotype Association Studies: Associating small molecules with phenotypic traits to support hypothesis generation.
Methodology:
Automated data processing, annotation, and integration of LC-MS metabolomics with phenotype, sample grouping, and genomic data, followed by feature extraction, reproducible prioritization/ranking, data filtering, and visualization of feature–phenotype interactions.
Topics
Collections
Details
- License:
- MIT
- Maturity:
- Emerging
- Cost:
- Free of charge
- Tool Type:
- desktop application, web application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python
- Added:
- 5/9/2025
- Last Updated:
- 5/9/2025
Operations
Publications
Zdouc MM, Augustijn HE, Machushynets NV, Bayona LM, Soldatou S, de Jonge NF, Casu S, Jaspars M, van Wezel GP, Medema MH, van der Hooft JJJ. FERMO: a Dashboard for Automated Prioritization of Molecular Features from Mass Spectral Data. Unknown Journal. 2022. doi:10.1101/2022.12.21.521422.
Documentation
Downloads
- Source codeVersion: 1.1.0https://github.com/fermo-metabolomics/FERMO/releases/tag/1.1.0