MeltDB
MeltDB is an open-source platform for the analysis of raw GC-MS and LC-MS metabolomics data. It supports flexible workflows for mass spectrometry data processing, metabolite identification, normalization, statistical analysis, and visualization. MeltDB integrates established open-source tools such as XCMS, MassSpecWavelet, and metaB, and enables metabolite identification using the Golm Metabolome Database (GMD) or user-defined NIST libraries.
Key benefits
Open-source platform for GC-MS and LC-MS metabolomics data analysis
Flexible workflows for raw data processing and integration of preprocessed datasets
Metabolite identification via GMD and user-defined NIST libraries
Normalization using internal standards such as ribitol, dry weight, or cell volume
Integration with genomics and transcriptomics resources for multi-omics interpretation
Applications
Processing and analysis of raw metabolomics mass spectrometry data
Metabolite identification and abundance normalization
Statistical analysis using t-tests, ANOVA, and hierarchical clustering
Exploratory visualization with PCA, ICA, heatmaps, and cluster analysis
Integration of metabolite and transcript data in biological pathway contexts
Intended use
MeltDB is intended for metabolomics researchers, systems biologists, bioinformaticians, and mass spectrometry users working with GC-MS or LC-MS datasets. It is particularly suited for users who need an integrated platform for metabolomics data processing, statistical analysis, visualization, and connection to transcriptomics or genomics data.
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