CFM-ID statistics

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CFM-ID specifications


Unique identifier OMICS_04648
Interface Web user interface
Restrictions to use None
Computer skills Basic
Stability Stable
Maintained Yes


  • person_outline Felicity Allen <>

Publication for CFM-ID

CFM-ID in publications

PMCID: 5844983
PMID: 29556190
DOI: 10.3389/fnagi.2018.00051

[…] were matched against online databases such as metlin and massbank (validation level 2) or against in silico fragmentation spectra (validation level 3) retrieved from metfrag (ruttkies et al., ), cfm-id (allen et al., ) and/or csi:fingerid (dührkop et al., ) with precursor mass accuracy of 20 ppm and fragment accuracy of 0.01 da. semi-quantitative metabolite intensities were calculated using […]

PMCID: 5491522
PMID: 28663594
DOI: 10.1038/s41598-017-01735-y

[…] fragmentation pattern and accurate m/z of detected chromatographic peaks with the m/z and theoretical fragmentation pattern of compounds from the human metabolome database (hmdb version 3.0) using cfm-id and mycompoundid. spectra produced from collision energy that exhibit inadequate signal were not used for structural elucidation. next, standard of metabolite was procured and run using […]

PMCID: 5499862
PMID: 28520864
DOI: 10.1093/gigascience/gix037

[…] precursor ion), and drift time (for ion mobility ms) with predicted ones, and analyzes cid of the best candidates using metfrag. competitive fragmentation modeling for metabolite identification (cfm-id) [] is based on competitive fragmentation modeling, a probabilistic generative model that uses machine learning to learn its parameters from data. it can be used to predict spectra of known […]

PMCID: 5192452
PMID: 27983674
DOI: 10.3390/metabo6040046

[…] mentioned, over the past few years some significant developments in ms/ms spectral prediction and ms/ms spectral interpretation have taken place. these include the development of metfrag [] and the cfm-id suite for predicting both ei-ms and ms/ms spectra [,] as well as the development of lipidblast for predicting ms/ms spectra of lipids []. they also include the creation of tools such as magma […]

PMCID: 4908330
PMID: 27307628
DOI: 10.1093/bioinformatics/btw246

[…] are computed to model the fragmentation process of the molecules and then used for predicting the molecular fingerprints. the other machine learning approach for metabolite identification, used by cfm-id (, ), also relies on a two-step scheme, where the first step consists in predicting the mass spectra of the candidate molecules by modeling their fragmentation processes. in the second step, […]

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CFM-ID institution(s)
Department of Computing Science, Athabasca Hall, University of Alberta, Edmonton, Canada

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