XCMS Online
XCMS Online is a cloud version of the original eXtensible Computational Mass Spectrometry technology, created by the Siuzdak Lab at Scripps Research. XCMS introduced the concept of nonlinear retention time alignment that allowed for the statistical assessment of the detected peaks across LCMS and GCMS datasets. XCMS Online was designed to facilitate XCMS analyses through a cloud portal and as a more straightforward way to analyze, visualize and share untargeted metabolomic data. Further to this, the combination of XCMS and METLIN allows for the identification of known molecules using METLIN's tandem mass spectrometry data, and enables the identification of unknown via similarity searching of tandem mass spectrometry data. XCMS Online has also become a systems biology tool for integrating different omic data sets. As of January 2021, the - METLIN platform has over 44,000 registered users. XCMS - METLIN was recognized in 2023 as the year's top analytical innovation.
XCMS Online works by comparing groups of raw or preprocessed metabolomic data to discover metabolites using methods such as nonlinear retention time alignment and feature detection & matching. Once analysis is complete the data can be viewed several different ways including via bubble plots, heat maps, chromatograms, and box plots. In addition, XCMS Online is integrated with METLIN, a large metabolite database. The following file formats are supported for direct upload to the site.
| File Type | Vendor |
| mzXML | Open Format |
| mzData | Open Format |
| .cdf | NetCDF |
| .d folders | Agilent, Bruker |
| .wiff | SCIEX |
| .RAW folders | Waters |
| .RAW files | Thermo |