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Cited by 1,634

The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.

Feature-based molecular networking in the GNPS analysis environment

Open access
Nothias, Louis-Félix, Petras, Daniel, Schmid, Robin, Dührkop, Kai, Rainer, Johannes, Sarvepalli, Abinesh, Protsyuk, Ivan, Ernst, Madeleine, Tsugawa, Hiroshi, Fleischauer, Markus, Aicheler, Fabian, Aksenov, Alexander A., Alka, Oliver, Allard, Pierre-Marie, Barsch, Aiko, Cachet, Xavier, Caraballo-Rodriguez, Andres Mauricio, Da Silva, Ricardo R., Dang, Tam, Garg, Neha, Gauglitz, Julia M., Gurevich, Alexey, Isaac, Giorgis, Jarmusch, Alan K., Kameník, Zdeněk, Kang, Kyo Bin, Kessler, Nikolas, Koester, Irina, Korf, Ansgar, Le Gouellec, Audrey, Ludwig, Marcus, Martin H., Christian, McCall, Laura-Isobel, McSayles, Jonathan, Meyer, Sven W., Mohimani, Hosein, Morsy, Mustafa, Moyne, Oriane, Neumann, Steffen, Neuweger, Heiko, Nguyen, Ngoc Hung, Nothias-Esposito, Melissa, Paolini, Julien, Phelan, Vanessa V., Pluskal, Tomáš, Quinn, Robert A., Rogers, Simon, Shrestha, Bindesh, Tripathi, Anupriya, van der Hooft, Justin J. J., Vargas, Fernando, Weldon, Kelly C., Witting, Michael, Yang, Heejung, Zhang, Zheng, Zubeil, Florian, Kohlbacher, Oliver, Böcker, Sebastian, Alexandrov, Theodore, Bandeira, Nuno, Wang, Mingxun, Dorrestein, Pieter C.·2020·Nature Methods

Published version of a preprint

Abstract

Molecular networking has become a key method to visualize and annotate the chemical space in non-targeted mass spectrometry data. We present feature-based molecular networking (FBMN) as an analysis method in the Global Natural Products Social Molecular Networking (GNPS) infrastructure that builds on chromatographic feature detection and alignment tools. FBMN enables quantitative analysis and resolution of isomers, including from ion mobility spectrometry. Feature-based molecular networking allows the generation of molecular networks for mass spectrometry data that can recognize isomers, incorporate relative quantification and integrate ion mobility data.

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Research works printed but not linked: 3

  1. Ono, K., Demchak, B. & Ideker, T. Cytoscape tools for the web age: D3.js and Cytoscape.js exporters. F1000Res. 3, 143 (2014). · doi:10.12688/f1000research.4510.2
  2. Beauxis, Y. & Genta-Jouve, G. Metwork: a web server for natural products anticipation. Bioinformatics 35, 1795–1796 (2019). · doi:10.1093/bioinformatics/bty864
  3. Dührkop, K. et al. Classes for the masses: systematic classification of unknowns using fragmentation spectra. Preprint at bioRxiv https://doi.org/10.1101/2020.04.17.046672 (2020). · doi:10.1101/2020.04.17.046672

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Metadata

Authors
Nothias, L.-F., Petras, D., Schmid, R., Dührkop, K., Rainer, J., Sarvepalli, A., Protsyuk, I., Ernst, M., Tsugawa, H., Fleischauer, M., Aicheler, F., Aksenov, A. A., Alka, O., Allard, P.-M., Barsch, A., Cachet, X., Caraballo-Rodriguez, A. M., Da Silva, R. R., Dang, T., Garg, N., Gauglitz, J. M., Gurevich, A., Isaac, G., Jarmusch, A. K., Kameník, Z., Kang, K. B., Kessler, N., Koester, I., Korf, A., Le Gouellec, A., Ludwig, M., Martin H., C., McCall, L.-I., McSayles, J., Meyer, S. W., Mohimani, H., Morsy, M., Moyne, O., Neumann, S., Neuweger, H., Nguyen, N. H., Nothias-Esposito, M., Paolini, J., Phelan, V. V., Pluskal, T., Quinn, R. A., Rogers, S., Shrestha, B., Tripathi, A., van der Hooft, J. J. J., Vargas, F., Weldon, K. C., Witting, M., Yang, H., Zhang, Z., Zubeil, F., Kohlbacher, O., Böcker, S., Alexandrov, T., Bandeira, N., Wang, M., & Dorrestein, P. C.
Venue
Nature Methods
Published
2020-08-24
Volume
17
Issue
9
Pages
905-908
ISSN
  • 1548-7091 (ISSN-L)
  • 1548-7105
OpenAlex
W3080789666
Cited by
1,634
References
56
FWCI
45.09
Type
journal article
Language
en
Open access
green
Licence

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Nothias, L.-F., Petras, D., Schmid, R., Dührkop, K., Rainer, J., Sarvepalli, A., Protsyuk, I., Ernst, M., Tsugawa, H., Fleischauer, M., Aicheler, F., Aksenov, A. A., Alka, O., Allard, P.-M., Barsch, A., Cachet, X., Caraballo-Rodriguez, A. M., Da Silva, R. R., Dang, T., . . . Dorrestein, P. C. (2020). Feature-based molecular networking in the GNPS analysis environment. Nature Methods. https://doi.org/10.1038/s41592-020-0933-6

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