MeltDB statistics

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Citations per year

Number of citations per year for the bioinformatics software tool MeltDB

Tool usage distribution map

This map represents all the scientific publications referring to MeltDB per scientific context
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Associated diseases

This word cloud represents MeltDB usage per disease context

Popular tool citations

chevron_left Data integration Metabolic network analysis Metabolite identification Chromatogram alignment Clustering Data normalization Peak detection Statistical analysis Metabolite quantification Spectral visualization chevron_right
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MeltDB specifications


Unique identifier OMICS_06731
Name MeltDB
Interface Web user interface, Application programming interface
Restrictions to use None
Input format netCDF,mzXML,mzDATA
Computer skills Basic
Version 2.0
Stability Stable
Registration required Yes
Maintained Yes



  • person_outline Heiko Neuweger
  • person_outline MeltDB

Publications for MeltDB

MeltDB citations


The Chemistry of Plant–Microbe Interactions in the Rhizosphere and the Potential for Metabolomics to Reveal Signaling Related to Defense Priming and Induced Systemic Resistance

Front Plant Sci
PMCID: 5811519
PMID: 29479360
DOI: 10.3389/fpls.2018.00112

[…] mber of identified metabolites (; , ). Recently, a number of databases incorporating MS or nuclear magnetic resonance (NMR)-based metabolomics and statistical tools have been developed, i.e., MeRy-B, MeltDB, and SetupX (; ). Also, a number of integrated databases (e.g., are also emerging (). These include full annotation of metabolites, metabolic profiling and statistical to […]


Navigating freely available software tools for metabolomics analysis

PMCID: 5550549
PMID: 28890673
DOI: 10.1007/s11306-017-1242-7

[…] A is designed to take AMDIS (Meyer et al. ) output as input and can quantify the results. It generates a list of mass spectral tags from the inputted ion list. A suite of modular tools is provided by MeltDB. It includes a number of algorithms for peak picking including matchFilter (Smith et al. ) and centWave (Tautenhahn et al. ) from XCMS and MassSpecWavelet (Du et al. ), as well as retention ind […]


From chromatogram to analyte to metabolite. How to pick horses for courses from the massive web resources for mass spectral plant metabolomics

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

[…] alysis of Cross-Platform Microarray and Pathway Data (InCroMAP) [], Integrated Interactome System (IIS) [], Kazusa Plant Pathway Viewer (KaPPA-View4) [], MapMan [], ProMeTra (which is integrated with MeltDB 2.0) [], Paintomics [], Visualization and Analysis of Networks Containing Experimental Data (VANTED) [], MBROLE [], and Integrated Molecular Pathway Level Analysis (IMPaLA) [] go 1 step further […]


Metabolic Adaptations of White Lupin Roots and Shoots under Phosphorus Deficiency

Front Plant Sci
PMCID: 4656794
PMID: 26635840
DOI: 10.3389/fpls.2015.01014
call_split See protocol

[…] Principal component analysis (PCA) was carried out by using the program MeltDB (). For heatmaps and statistics, data were log10-transformed and centered (). For root metabolites, one-way-ANOVA and Tukey’s test (P ≤ 0.05) were performed with SigmaPlot 11 (Systat Software, […]


Learning to Classify Organic and Conventional Wheat – A Machine Learning Driven Approach Using the MeltDB 2.0 Metabolomics Analysis Platform

Front Bioeng Biotechnol
PMCID: 4371749
PMID: 25853128
DOI: 10.3389/fbioe.2015.00035

[…] level changes can be accounted on the farming systems (Röhlig and Engel, ; Laursen et al., ; Bonte et al., ).All GC-MS measurements were automatically preprocessed and then carefully annotated in our MeltDB 2.0 metabolomics analysis platform (Neuweger et al., ; Kessler et al., ). MeltDB allowed us to apply a well-established routine in high-dimensional molecular data analysis. After preprocessig ( […]


Recent Progress in the Development of Metabolome Databases for Plant Systems Biology

Front Plant Sci
PMCID: 3616245
PMID: 23577015
DOI: 10.3389/fpls.2013.00073

[…] his review have multiple functions. Furthermore, several web-based applications for metabolomic data are available (Table ), such as MetaMapp (Barupal et al., ), metaP-Server (Kastenmuller et al., ), MeltDB (Neuweger et al., ), and MetiTree (Rojas-Cherto et al., ). They cover multiple steps from data pre-processing to biological interpretation. […]

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MeltDB institution(s)
International NRW Graduate School in Bioinformatics and Genome Research, Bielefeld University, Bielefeld, Germany; Computational Genomics, Center for Biotechnology (CeBiTec), Bielefeld, Germany; Proteome and Metabolome Research, Bielefeld University, Bielefeld, Germany; Genome Informatics, Bielefeld University, Bielefeld, Germany; Institute for Genome Research and Systems Biology, CeBiTec, Bielefeld, Germany
MeltDB funding source(s)
Supported by the International Graduate School in Bioinformatics and Genome Research, and the BMBF (grant 0313805A ‘GenoMik-Plus’).

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