MIDAS is a database searching approach for metabolite identification in metabolomics by matching the measured tandem mass spectra (MS/MS) against the predicted fragments of metabolites in a database. MIDAS was designed to search high-resolution tandem mass spectra (MS/MS) acquired on time-of-flight or Orbitrap against a large metabolite database in an automated and high-throughput manner. It is worth noting that we have used C++ to reimplement the MIDAS algorithm in MIDAS-G that can generate the same results with the no grammar mode.
Download the source code.
Download the tool for converting mzML format to FT2 format
Citation
- Yingfeng Wang, Guruprasad Kora, Benjamin Bowen, and Chongle Pan, “MIDAS: A Database-Searching Algorithm for Metabolite Identification in Metabolomics,” Analytical Chemistry, vol.86, no. 19. pp. 9496-9503, 2014.