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.

Funding: - European Union: Horizon 2020 Grant Agreement no. 101000392 (MARBLES) - Nederlandse Organisatie voor Wetenschappelijk Onderzoek: KICH1.LWV04.21.013

Documentation

Downloads

Links

Repository
https://github.com/fermo-metabolomics
(GitHub Organization page organizing repositories related to FERMO)