MetAssimulo statistics

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Citations per year

Number of citations per year for the bioinformatics software tool MetAssimulo

Tool usage distribution map

This map represents all the scientific publications referring to MetAssimulo per scientific context
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MetAssimulo specifications


Unique identifier OMICS_23111
Name MetAssimulo
Software type Package/Module
Interface Graphical user interface
Restrictions to use None
Input data Concentration files, an NMR Standard Spectral Database (NSSD), an experiment file, a proton file, multiplet data files, inter-metabolite correlations, synonym files and a parameter file.
Operating system Unix/Linux, Mac OS, Windows
Programming languages MATLAB
Computer skills Medium
Stability Stable
Maintained Yes




No version available


  • person_outline t.ebbels

Publication for MetAssimulo

MetAssimulo citations


Recommended strategies for spectral processing and post processing of 1D 1H NMR data of biofluids with a particular focus on urine

PMCID: 5809546
PMID: 29479299
DOI: 10.1007/s11306-018-1321-4

[…] ultivariate analysis, metabolite annotation and biological interpretation, MVAPACK for multivariate analysis (Worley and Powers ), Workflow4Metabolomics for multivariate analysis (Giacomoni et al. ), Metassimulo for multivariate analysis (Muncey et al. ), the Human Metabolome Database (HMDB) for metabolite annotation and biological interpretation (Wishart et al. ), and the BioMagResBank (BMRB) for […]


Methodological approaches to help unravel the intracellular metabolome of Bacillus subtilis

Microb Cell Fact
PMCID: 3722095
PMID: 23844891
DOI: 10.1186/1475-2859-12-69

[…] ols for data analysis and visualization have been developed, such as mzMINE [,] and XCMS for MS data []; GAVIN [] and Metab [] for GC-MS analysis; BATMAN [] and BQuant [] for NMR analysis as well as, MetAssimulo [] and MBRole [], MetExplore [] and MSEA [] to handle and visualize data sets of increasing size.Sampling and pre-analysis represent the first steps in the generation of metabolome data, s […]

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MetAssimulo institution(s)
Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK; Biomolecular Medicine, Department of Surgery and Cancer, Imperial College London, UK.
MetAssimulo funding source(s)
Supported by an MRC capacity building studentship and, in part, by the Biotechnology and Biological Sciences Research Council (Grant Ref.BB/E20372/1).

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