The concept of metabolomics is emerged as a new omics layer of system biology in this several years, but a flood of publicly available data for bioinformatics research is not observed yet. MassBase is an archive of a huge amount of mass spectrum tags (MST) include both known and unknown assigned (or predicted) peaks which are found in biological samples (mainly from plants) and standard chemical reagents for peak annotation. The aim of the database is to enhance the bioinformatics research of metabolomics using a huge metabolomics dataset. Over 1,700,000 peaks from 5,100 MSTs by GC-TOF-MS and 170 MSTs by UPLC-TOF-MS are archived as text format files with its binary raw data files. Scanned mass spectra (SMS), a text format list of mass signals in all scans of a binary raw data are also archived. It should help to verify a computational peak assignment and to study an improvement of a quality of peak assignment. All dataset is freely downloadable from this site. To expand the dataset by using another type of MS instruments (e.g. CE-MS) are planned in near future. MassBase developed at Kazusa DNA research institute and supported by the NEDO project. (cited from the original site)

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