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Chignola F, Mari S, Stevens TJ, et al. The CCPN Metabolomics Project: a fast protocol for metabolite identification by 2D-NMR. Bioinformatics. 2011;27(6):885-6doi: 10.1093/bioinformatics/btr013.
Chignola, F., Mari, S., Stevens, T. J., Fogh, R. H., Mannella, V., Boucher, W., & Musco, G. (2011). The CCPN Metabolomics Project: a fast protocol for metabolite identification by 2D-NMR. Bioinformatics (Oxford, England), 27(6), 885-6. https://doi.org/10.1093/bioinformatics/btr013
Chignola, Francesca, et al. "The CCPN Metabolomics Project: a fast protocol for metabolite identification by 2D-NMR." Bioinformatics (Oxford, England) vol. 27,6 (2011): 885-6. doi: https://doi.org/10.1093/bioinformatics/btr013
Chignola F, Mari S, Stevens TJ, Fogh RH, Mannella V, Boucher W, Musco G. The CCPN Metabolomics Project: a fast protocol for metabolite identification by 2D-NMR. Bioinformatics. 2011 Mar 15;27(6):885-6. doi: 10.1093/bioinformatics/btr013. Epub 2011 Jan 06. PMID: 21216771.
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Bioinformatics. 2011 Mar 15;27(6):885-6. doi: 10.1093/bioinformatics/btr013. Epub 2011 Jan 06.

The CCPN Metabolomics Project: a fast protocol for metabolite identification by 2D-NMR.

Bioinformatics (Oxford, England)

Francesca Chignola, Silvia Mari, Tim J Stevens, Rasmus H Fogh, Valeria Mannella, Wayne Boucher, Giovanna Musco

Affiliations

  1. Biomolecular NMR Laboratory, Dulbecco Telethon Institute c/o San Raffaele Scientific Institute - DIBIT, Via Olgettina 58, 20132 Milan, Italy.

PMID: 21216771 DOI: 10.1093/bioinformatics/btr013

Abstract

SUMMARY: We present here the freely available Metabolomics Project resource specifically designed to work under the CcpNmr Analysis program produced by CCPN (Collaborative Computing Project for NMR) (Vranken et al., 2005, The CCPN data model for NMR spectroscopy: development of a software pipeline. Proteins, 59, 687-696). The project consists of a database of assigned 1D and 2D spectra of many common metabolites. The project aims to help the user to analyze and assign 1D and 2D NMR spectra of unknown metabolite mixtures. Spectra of unknown mixtures can be easily superimposed and compared with the database spectra, thus facilitating their assignment and identification.

AVAILABILITY: The CCPN Metabolomics Project, together with an annotated example dataset, is freely available via: http://www.ccpn.ac.uk/metabolomics/.

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