The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Systems biology guided by XCMS Online metabolomics
Open accessAbstract
An aim of systems biology is to understand complex interactions between genes, proteins and metabolites by integrating and modeling multiple data sources. We report an 'integrated-omics' approach within XCMS Online1 that automatically superimposes raw metabolomic data onto metabolic pathways and integrates it with transcriptomic and proteomic data (http://XCMSOnline.scripps.edu/).
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Cites
Caspi, R., Billington, R., Ferrer, L., Foerster, H., Fulcher, C. A., Keseler, I. M., Kothari, A., Krummenacker, M., Latendresse, M., Mueller, L. A., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1164 · Cited by 3,395
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Identification of bioactive metabolites using activity metabolomics
Rinschen, M. M., Ivanisevic, J., Giera, M., & Siuzdak, G. (2019) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-019-0108-4 · Cited by 1,008
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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-citationGuo, J., & Huan, T. (2020) · Analytical Chemistry · doi:10.1021/acs.analchem.9b05135 · Cited by 312
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Metadata
- Authors
- Huan, T., Forsberg, E. M., Rinehart, D., Johnson, C. H., Ivanisevic, J., Benton, H. P., Fang, M., Aisporna, A., Hilmers, B., Poole, F. L., Thorgersen, M. P., Adams, M. W. W., Krantz, G., Fields, M. W., Robbins, P. D., Niedernhofer, L. J., Ideker, T., Majumder, E. L., Wall, J. D., Rattray, N. J. W., Goodacre, R., Lairson, L. L., & Siuzdak, G.
- Venue
- Nature Methods
- Published
- 2017-04-27
- Volume
- 14
- Issue
- 5
- Pages
- 461-462
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W2608815200
- Cited by
- 199
- References
- 1
- FWCI
- 8.64
- Type
- journal article
- Language
- en
- Open access
- green
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
