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Feature-Based Molecular Networking in the GNPS Analysis Environment

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...

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Autores principales: Nothias, Louis Felix, Petras, Daniel, Schmid, Robin, Dührkop, Kai, Rainer, Johannes, Sarvepalli, Abinesh, Protsyuk, Ivan, Ernst, Madeleine, Tsugawa, Hiroshi, Fleischauer, Markus, Aicheler, Fabian, Aksenov, Alexander, Alka, Oliver, Allard, Pierre-Marie, Barsch, Aiko, Cachet, Xavier, Caraballo, Mauricio, Silva, Ricardo R. Da, 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, Gouellec, Audrey Le, Ludwig, Marcus, H., Christian Martin, 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7885687/
https://www.ncbi.nlm.nih.gov/pubmed/32839597
http://dx.doi.org/10.1038/s41592-020-0933-6
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author Nothias, Louis Felix
Petras, Daniel
Schmid, Robin
Dührkop, Kai
Rainer, Johannes
Sarvepalli, Abinesh
Protsyuk, Ivan
Ernst, Madeleine
Tsugawa, Hiroshi
Fleischauer, Markus
Aicheler, Fabian
Aksenov, Alexander
Alka, Oliver
Allard, Pierre-Marie
Barsch, Aiko
Cachet, Xavier
Caraballo, Mauricio
Silva, Ricardo R. Da
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
Gouellec, Audrey Le
Ludwig, Marcus
H., Christian Martin
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.
author_facet Nothias, Louis Felix
Petras, Daniel
Schmid, Robin
Dührkop, Kai
Rainer, Johannes
Sarvepalli, Abinesh
Protsyuk, Ivan
Ernst, Madeleine
Tsugawa, Hiroshi
Fleischauer, Markus
Aicheler, Fabian
Aksenov, Alexander
Alka, Oliver
Allard, Pierre-Marie
Barsch, Aiko
Cachet, Xavier
Caraballo, Mauricio
Silva, Ricardo R. Da
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
Gouellec, Audrey Le
Ludwig, Marcus
H., Christian Martin
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.
author_sort Nothias, Louis Felix
collection PubMed
description 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. The FBMN method brings quantitative analyses, isomeric resolution, including from ion-mobility spectrometry, into molecular networks.
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spelling pubmed-78856872021-02-24 Feature-Based Molecular Networking in the GNPS Analysis Environment Nothias, Louis Felix Petras, Daniel Schmid, Robin Dührkop, Kai Rainer, Johannes Sarvepalli, Abinesh Protsyuk, Ivan Ernst, Madeleine Tsugawa, Hiroshi Fleischauer, Markus Aicheler, Fabian Aksenov, Alexander Alka, Oliver Allard, Pierre-Marie Barsch, Aiko Cachet, Xavier Caraballo, Mauricio Silva, Ricardo R. Da 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 Gouellec, Audrey Le Ludwig, Marcus H., Christian Martin 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. Nat Methods Article 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. The FBMN method brings quantitative analyses, isomeric resolution, including from ion-mobility spectrometry, into molecular networks. 2020-08-24 2020-09 /pmc/articles/PMC7885687/ /pubmed/32839597 http://dx.doi.org/10.1038/s41592-020-0933-6 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Nothias, Louis Felix
Petras, Daniel
Schmid, Robin
Dührkop, Kai
Rainer, Johannes
Sarvepalli, Abinesh
Protsyuk, Ivan
Ernst, Madeleine
Tsugawa, Hiroshi
Fleischauer, Markus
Aicheler, Fabian
Aksenov, Alexander
Alka, Oliver
Allard, Pierre-Marie
Barsch, Aiko
Cachet, Xavier
Caraballo, Mauricio
Silva, Ricardo R. Da
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
Gouellec, Audrey Le
Ludwig, Marcus
H., Christian Martin
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.
Feature-Based Molecular Networking in the GNPS Analysis Environment
title Feature-Based Molecular Networking in the GNPS Analysis Environment
title_full Feature-Based Molecular Networking in the GNPS Analysis Environment
title_fullStr Feature-Based Molecular Networking in the GNPS Analysis Environment
title_full_unstemmed Feature-Based Molecular Networking in the GNPS Analysis Environment
title_short Feature-Based Molecular Networking in the GNPS Analysis Environment
title_sort feature-based molecular networking in the gnps analysis environment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7885687/
https://www.ncbi.nlm.nih.gov/pubmed/32839597
http://dx.doi.org/10.1038/s41592-020-0933-6
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