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MIDAS specifications


Unique identifier OMICS_30266
Alternative name Metabolite Identification via Database Searching
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Computer skills Advanced
Stability Stable
Maintained Yes




No version available


  • person_outline Chongle Pan

Publication for Metabolite Identification via Database Searching

MIDAS citations


Comprehensive comparison of in silico MS/MS fragmentation tools of the CASMI contest: database boosting is needed to achieve 93% accuracy

J Cheminform
PMCID: 5445034
DOI: 10.1186/s13321-017-0219-x

[…] compounds in silico fragmentation software tools have been developed and are used to identify MS/MS spectra when the reference MS/MS spectrum is not available. Such software tools include MetFrag [], MIDAS [], MAGMa [, ], MAGMa+ [], MOLGEN–MS/MS [], CSI:FingerID [], CFM-ID [], FingerID [], Input output kernel regression (IOKR) [] and the MS-Finder software []. A number of commercial software solut […]


Fast metabolite identification with Input Output Kernel Regression

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

[…] g methods: FingerID () and CSI:FingerID. showed that CSI:FingerID improved significantly the metabolite identification rate compared with competing methods including CFM-ID (), MetFrag (), MAGMa (), MIDAS () as well as FingerID—the second most accurate method in their comparison. Both FingerID and CSI:FingerID train a SVM classifier for each molecular property. A scoring function is then used to […]


Analysis of Metabolomics Datasets with High Performance Computing and Metabolite Atlases

PMCID: 4588804
PMID: 26287255
DOI: 10.3390/metabo5030431

[…] ple and method specific constraints on Metabolite Atlases make sharing of compound IDs have a rational. Once the form of the molecular ion is identified, in silico identification strategies including MIDAS and MetFrag provide effective strategies for compound identification [,].This is important because many people with the same goals can’t leverage the work of the community. The majority of effor […]


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MIDAS institution(s)
Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA; Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
MIDAS funding source(s)
Supported by the U.S. Department of Energy, Office of Science, Biological and Environmental Research, Genomic Science Program, as part of the Plant Microbe Interfaces Scientific Focus Area and the Carbon Cycling Research (DESC0010566).

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