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Feature-based molecular networking in the GNPS analysis environment. / 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.

In: Nature Methods, Vol. 17, No. 9, 09.2020, p. 905-908.

Research output: Contribution to journalArticlepeer-review

Harvard

Nothias, LF, Petras, D, Schmid, R, Dührkop, K, Rainer, J, Sarvepalli, A, Protsyuk, I, Ernst, M, Tsugawa, H, Fleischauer, M, Aicheler, F, Aksenov, AA, Alka, O, Allard, PM, Barsch, A, Cachet, X, Caraballo-Rodriguez, AM, Da Silva, RR, Dang, T, Garg, N, Gauglitz, JM, Gurevich, A, Isaac, G, Jarmusch, AK, Kameník, Z, Kang, KB, Kessler, N, Koester, I, Korf, A, Le Gouellec, A, Ludwig, M, Martin H, C, McCall, LI, McSayles, J, Meyer, SW, Mohimani, H, Morsy, M, Moyne, O, Neumann, S, Neuweger, H, Nguyen, NH, Nothias-Esposito, M, Paolini, J, Phelan, VV, Pluskal, T, Quinn, RA, Rogers, S, Shrestha, B, Tripathi, A & van der Hooft, JJJ 2020, 'Feature-based molecular networking in the GNPS analysis environment', Nature Methods, vol. 17, no. 9, pp. 905-908. https://doi.org/10.1038/s41592-020-0933-6

APA

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., ... van der Hooft, J. J. J. (2020). Feature-based molecular networking in the GNPS analysis environment. Nature Methods, 17(9), 905-908. https://doi.org/10.1038/s41592-020-0933-6

Vancouver

Nothias LF, Petras D, Schmid R, Dührkop K, Rainer J, Sarvepalli A et al. Feature-based molecular networking in the GNPS analysis environment. Nature Methods. 2020 Sep;17(9):905-908. https://doi.org/10.1038/s41592-020-0933-6

Author

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. / Feature-based molecular networking in the GNPS analysis environment. In: Nature Methods. 2020 ; Vol. 17, No. 9. pp. 905-908.

BibTeX

@article{dfd42c38695648cc978af881ba95c911,
title = "Feature-based molecular networking in the GNPS analysis environment",
abstract = "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.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.",
keywords = "Biological Products/chemistry, Computational Biology/methods, Databases, Factual, Mass Spectrometry, Metabolomics/methods, Software, PLATFORM, LC-MS, MASS-SPECTROMETRY DATA, PEPTIDIC NATURAL-PRODUCTS, DATABASE SEARCH, DISCOVERY",
author = "Nothias, {Louis F{\'e}lix} and Daniel Petras and Robin Schmid and Kai D{\"u}hrkop and Johannes Rainer and Abinesh Sarvepalli and Ivan Protsyuk and Madeleine Ernst and Hiroshi Tsugawa and Markus Fleischauer and Fabian Aicheler and Aksenov, {Alexander A.} and Oliver Alka and Allard, {Pierre Marie} and Aiko Barsch and Xavier Cachet and Caraballo-Rodriguez, {Andres Mauricio} and {Da Silva}, {Ricardo R.} and Tam Dang and Neha Garg and Gauglitz, {Julia M.} and Alexey Gurevich and Giorgis Isaac and Jarmusch, {Alan K.} and Zden{\v e}k Kamen{\'i}k and Kang, {Kyo Bin} and Nikolas Kessler and Irina Koester and Ansgar Korf and {Le Gouellec}, Audrey and Marcus Ludwig and {Martin H}, Christian and McCall, {Laura Isobel} and Jonathan McSayles and Meyer, {Sven W.} and Hosein Mohimani and Mustafa Morsy and Oriane Moyne and Steffen Neumann and Heiko Neuweger and Nguyen, {Ngoc Hung} and Melissa Nothias-Esposito and Julien Paolini and Phelan, {Vanessa V.} and Tom{\'a}{\v s} Pluskal and Quinn, {Robert A.} and Simon Rogers and Bindesh Shrestha and Anupriya Tripathi and {van der Hooft}, {Justin J.J.}",
year = "2020",
month = sep,
doi = "10.1038/s41592-020-0933-6",
language = "English",
volume = "17",
pages = "905--908",
journal = "Nature Methods",
issn = "1548-7091",
publisher = "Nature Publishing Group",
number = "9",

}

RIS

TY - JOUR

T1 - Feature-based molecular networking in the GNPS analysis environment

AU - Nothias, Louis Félix

AU - Petras, Daniel

AU - Schmid, Robin

AU - Dührkop, Kai

AU - Rainer, Johannes

AU - Sarvepalli, Abinesh

AU - Protsyuk, Ivan

AU - Ernst, Madeleine

AU - Tsugawa, Hiroshi

AU - Fleischauer, Markus

AU - Aicheler, Fabian

AU - Aksenov, Alexander A.

AU - Alka, Oliver

AU - Allard, Pierre Marie

AU - Barsch, Aiko

AU - Cachet, Xavier

AU - Caraballo-Rodriguez, Andres Mauricio

AU - Da Silva, Ricardo R.

AU - Dang, Tam

AU - Garg, Neha

AU - Gauglitz, Julia M.

AU - Gurevich, Alexey

AU - Isaac, Giorgis

AU - Jarmusch, Alan K.

AU - Kameník, Zdeněk

AU - Kang, Kyo Bin

AU - Kessler, Nikolas

AU - Koester, Irina

AU - Korf, Ansgar

AU - Le Gouellec, Audrey

AU - Ludwig, Marcus

AU - Martin H, Christian

AU - McCall, Laura Isobel

AU - McSayles, Jonathan

AU - Meyer, Sven W.

AU - Mohimani, Hosein

AU - Morsy, Mustafa

AU - Moyne, Oriane

AU - Neumann, Steffen

AU - Neuweger, Heiko

AU - Nguyen, Ngoc Hung

AU - Nothias-Esposito, Melissa

AU - Paolini, Julien

AU - Phelan, Vanessa V.

AU - Pluskal, Tomáš

AU - Quinn, Robert A.

AU - Rogers, Simon

AU - Shrestha, Bindesh

AU - Tripathi, Anupriya

AU - van der Hooft, Justin J.J.

PY - 2020/9

Y1 - 2020/9

N2 - 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.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.

AB - 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.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.

KW - Biological Products/chemistry

KW - Computational Biology/methods

KW - Databases, Factual

KW - Mass Spectrometry

KW - Metabolomics/methods

KW - Software

KW - PLATFORM

KW - LC-MS

KW - MASS-SPECTROMETRY DATA

KW - PEPTIDIC NATURAL-PRODUCTS

KW - DATABASE SEARCH

KW - DISCOVERY

UR - http://www.scopus.com/inward/record.url?scp=85089747963&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/58bc40ab-d037-3344-ae05-0513b8dbdeb7/

U2 - 10.1038/s41592-020-0933-6

DO - 10.1038/s41592-020-0933-6

M3 - Article

C2 - 32839597

AN - SCOPUS:85089747963

VL - 17

SP - 905

EP - 908

JO - Nature Methods

JF - Nature Methods

SN - 1548-7091

IS - 9

ER -

ID: 62913145