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License: http://opensource.org/licenses/MIT
Data sources: ZENODO
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License: http://opensource.org/licenses/MIT
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License: https://opensource.org/licenses/MIT
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ZENODO
Software . 2025
License: https://opensource.org/licenses/MIT
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ZENODO
Software . 2025
License: https://opensource.org/licenses/MIT
Data sources: Datacite
ZENODO
Software . 2026
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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fermo_core

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 05 Apr 2025Publisher:Zenodo
Authors: Zdouc, Mitja M.;
Code repository: https://github.com/fermo-metabolomics/fermo_core/tree/0.7.0

doi: 10.5281/zenodo.18420643 , 10.5281/zenodo.15399140 , 10.5281/zenodo.15157187 , 10.5281/zenodo.11259126

Abstract

fermo_core is the processing backend of the FERMO metabolomics dashboard. FERMO is designed to facilitate hypothesis-driven prioritization of molecules and samples, and integrates LC-MS metabolomics data with phenotype information, sample grouping, and genomic data. fermo_core is a modular processing pipeline integrating all steps from data parsing to organization, annotation, and score calculation. It is free open source and written in Python.

If you use this software, please cite it using the metadata from this file.

Related Organizations
Keywords

bioactivity, phenotype, liquid chromatography mass spectrometry, genomics, Metabolomics, mzmine, prioritization, antismash, Python3, LC-MS

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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