The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
XCMS Online: A Web-Based Platform to Process Untargeted Metabolomic Data
Open accessAbstract
Recently, interest in untargeted metabolomics has become prevalent in the general scientific community among an increasing number of investigators. The majority of these investigators, however, do not have the bioinformatic expertise that has been required to process metabolomic data by using command-line driven software programs. Here we introduce a novel platform to process untargeted metabolomic data that uses an intuitive graphical interface and does not require installation or technical expertise. This platform, called XCMS Online, is a web-based version of the widely used XCMS software that allows users to easily upload and process liquid chromatography/mass spectrometry data with only a few mouse clicks. XCMS Online provides a solution for the complete untargeted metabolomic workflow including feature detection, retention time correction, alignment, annotation, statistical analysis, and data visualization. Results can be browsed online in an interactive, customizable table showing statistics, chromatograms, and putative METLIN identities for each metabolite. Additionally, all results and images can be downloaded as zip files for offline analysis and publication. XCMS Online is available at https://xcmsonline.scripps.edu.
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Monoacylglycerol lipase regulates a fatty acid network that promotes cancer pathogenesis
Nomura, D. K., Long, J. Z., Niessen, S., Hoover, H. S., Ng, S.-W., & Cravatt, B. F. (2010) · Cell · doi:10.1016/j.cell.2009.11.027 · Cited by 1,002
Cited by
Metabolomics: beyond biomarkers and towards mechanisms
Johnson, C. H., Ivanisevic, J., & Siuzdak, G. (2016) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2016.25 · Cited by 2,829
Self-citationUsing MetaboAnalyst 3.0 for Comprehensive Metabolomics Data Analysis
Xia, J., & Wishart, D. S. (2016) · Current Protocols in Bioinformatics · doi:10.1002/cpbi.11 · Cited by 1,544
Microbiome-derived inosine modulates response to checkpoint inhibitor immunotherapy
Mager, L. F., Burkhard, R., Pett, N., Cooke, N. C. A., Brown, K., Ramay, H., Paik, S., Stagg, J., Groves, R. A., Gallo, M., et al. (2020) · Science · doi:10.1126/science.abc3421 · Cited by 1,407
Metabolomics activity screening for identifying metabolites that modulate phenotype
Guijas, C., Montenegro-Burke, J. R., Warth, B., Spilker, M. E., & Siuzdak, G. (2018) · Nature Biotechnology · doi:10.1038/nbt.4101 · Cited by 490
Self-citationZhu, Z.-J., Schultz, A. W., Wang, J., Johnson, C. H., Yannone, S. M., Patti, G. J., & Siuzdak, G. (2013) · Nature Protocols · doi:10.1038/nprot.2013.004 · Cited by 477
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Metadata
- Authors
- Tautenhahn, R., Patti, G. J., Rinehart, D., & Siuzdak, G.
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2012-06-05
- Volume
- 84
- Issue
- 11
- Pages
- 5035-5039
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- OpenAlex
- W2080046774
- Cited by
- 1,319
- References
- 1
- FWCI
- 23.00
- Type
- journal article
- Language
- en
- Open access
- green
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