To facilitate the systematic storage, analysis and integration of metabolomics experiments, we have implemented MeltDB, a web-based software platform for the analysis and annotation of datasets from metabolomics experiments. MeltDB supports open ﬁle formats (netCDF, mzXML, mzDATA) and facilitates the integration and evaluation of existing preprocessing methods. The system provides researchers with means to consistently describe and store their experimental datasets. Comprehensive analysis and visualization features of metabolomics datasets are offered to the community through a web-based user interface. The system covers the process from raw data management to the visualization of results in a knowledge-based background and is integrated into the context of existing software platforms of the junior group for computational genomics at Bielefeld University.
Store & organize experimental data
Upload chromatogram data from different file formats (netCDF, mzXML, mzDATA) and organize these into chromatogram groups (e.g. replicates) and experiments.
Project and user management
Have your data secured or share it with other project members using the fine-grained project and user management.
Feature extraction & preprocessing
Peak detection, chromatogram alignment and profiling are offered within the flexible MeltDB tool pipeline.
Compound identification & quantitation
Identify compounds according to database matches (NIST, GMD) and/or create and use your own reference lists. For quantitation area and intensity of peaks can be normalized to internal standards (e.g. Ribitol).
Explorative & statistical analysis
A multitude of data visualizations and statistical tools can be applied to your processing results. Among these are significance tests, clustering algorithms, machine-learning tools and others.
Integration with omics data
An interface to the ProMeTra software allows to fuse your results from metabolomics with transcriptomics or proteomics data.
Find publications on MeltDB or MeltDB features here. Citations of MeltDB or biology-scoped publications not included.
Find information and tutorials about specific tools in the MeltDB wiki.
For the first steps in MeltDB, there are video tutorials available.
Please contact the MeltDB support team for questions concerning MeltDB, or to obtain your own account for MeltDB.
BRF - Bioinformatics Resource Facility
33594 - Bielefeld