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A community resource for paired genomic and metabolomic data mining
A community resource for paired genomic and metabolomic data mining
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A community resource for paired genomic and metabolomic data mining

Michelle A. Schorn Stefan Verhoeven; Lars Ridder; Florian Huber; Deepa D. A Acharya; Alexander A Aksenov; Gajender Aleti; Jamshid Amiri Moghaddam; Allegra T Aron; Saefuddin Aziz; Anelize Bauermeister; Katherine D Bauman; Martin Baunach; Christine Beemelmanns; J. Michael Beman; María Victoria Berlanga Clavero; Alex A Blacutt; Helge B Bode; Anne Boullie; Asker Brejnrod; Tim S Bugni; Alexandra Calteau; Liu Cao; Víctor J Carrión; Raquel Castelo Branco; Shaurya Chanana; Alexander B Chase; Marc G Chevrette; Leticia Veras Costa Lotufo; Jason M Crawford; Cameron R Currie; Bart Cuypers; Tam Dang; Tristan de Rond; Alyssa M Demko; Elke Dittmann; Chao Du; Christopher Drozd; Jean-Claude Dujardin; Rachel J Dutton; Ann Edlund; David P Fewer; Neha Garg; Julia M Gauglitz; Emily C Gentry; Lena Gerwick; Evgenia Glukhov; Harald Gross; Muriel Gugger; Dulce G. Guillén Matus; Eric J. N Helfrich; Benjamin-Florian Hempel; Jae-Seoun Hur; Marianna Iorio; Paul R Jensen; Kyo Bin Kang; Leonard Kaysser; Neil L Kelleher; Chung Sub Kim; Ki Hyun Kim; Irina Koester; Gabriele M König; Tiago Leao; Seoung Rak Lee; Yi-Yuan Lee; Xuanji Li; Jessica C Little Maloney,Katherine N.; Daniel Männle; Christian Martin H.; Andrew C McAvoy; Willam W Metcalf; Hosein Mohimani; Carlos Molina Santiago; Bradley S Moore; Michael W Mullowney; Mitchell Muskat; Louis Félix Nothias; Ellis C O’Neill; Elizabeth I Parkinson; Daniel Petras; Jörn Piel; Emily C Pierce; Karine Pires; Raphael Reher; Diego Romero; M. Caroline Roper; Michael Rust; Hamada Saad; Carmen Saenz; Laura M Sanchez; Søren Johann Sørensen; Margherita Sosio; Roderich D Süssmuth; Douglas Sweeney; Kapil Tahlan; Regan J Thomson; Nicholas J Tobias; Amaro Emiliano Trindade Silva; Gilles P. van Wezel; Mingxun Wang; Kelly C Weldon; Fan Zhang; Nadine Ziemert; Katherine R Duncan; Max Crüsemann; Simon Rogers; Pieter C Dorrestein; Marnix H Medema; Justin J. J. van der Hooft

Nature Chemical Biology London 8 p., 2021

London 2021

Item não circula. Consulte sua biblioteca.(Acessar)

2
Spec2Vec: Improved mass spectral similarity scoring through learning of structural relationships
Spec2Vec: Improved mass spectral similarity scoring through learning of structural relationships
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Spec2Vec: Improved mass spectral similarity scoring through learning of structural relationships

Huber, Florian ; Ridder, Lars ; Verhoeven, Stefan ; Spaaks, Jurriaan H ; Diblen, Faruk ; Rogers, Simon ; van der Hooft, Justin J J Jensen, Lars Juhl

PLoS computational biology, 2021-02, Vol.17 (2), p.e1008724-e1008724 [Periódico revisado por pares]

United States: Public Library of Science

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3
DeepRank: a deep learning framework for data mining 3D protein-protein interfaces
DeepRank: a deep learning framework for data mining 3D protein-protein interfaces
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DeepRank: a deep learning framework for data mining 3D protein-protein interfaces

Renaud, Nicolas ; Geng, Cunliang ; Georgievska, Sonja ; Ambrosetti, Francesco ; Ridder, Lars ; Marzella, Dario F ; Réau, Manon F ; Bonvin, Alexandre M J J ; Xue, Li C

Nature communications, 2021-12, Vol.12 (1), p.7068-7068, Article 7068 [Periódico revisado por pares]

England: Nature Publishing Group

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4
Deciphering complex metabolite mixtures by unsupervised and supervised substructure discovery and semi-automated annotation from MS/MS spectra
Deciphering complex metabolite mixtures by unsupervised and supervised substructure discovery and semi-automated annotation from MS/MS spectra
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Deciphering complex metabolite mixtures by unsupervised and supervised substructure discovery and semi-automated annotation from MS/MS spectra

Rogers, Simon ; Ong, Cher Wei ; Wandy, Joe ; Ernst, Madeleine ; Ridder, Lars ; van der Hooft, Justin J. J

Faraday discussions, 2019-08, Vol.218, p.284-32 [Periódico revisado por pares]

England: Royal Society of Chemistry

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5
Sleep classification from wrist-worn accelerometer data using random forests
Sleep classification from wrist-worn accelerometer data using random forests
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Sleep classification from wrist-worn accelerometer data using random forests

Sundararajan, Kalaivani ; Georgievska, Sonja ; Te Lindert, Bart H W ; Gehrman, Philip R ; Ramautar, Jennifer ; Mazzotti, Diego R ; Sabia, Séverine ; Weedon, Michael N ; van Someren, Eus J W ; Ridder, Lars ; Wang, Jian ; van Hees, Vincent T

Scientific reports, 2021-01, Vol.11 (1), p.24-10, Article 24 [Periódico revisado por pares]

England: Nature Publishing Group

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6
MS2DeepScore: a novel deep learning similarity measure to compare tandem mass spectra
MS2DeepScore: a novel deep learning similarity measure to compare tandem mass spectra
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MS2DeepScore: a novel deep learning similarity measure to compare tandem mass spectra

Huber, Florian ; van der Burg, Sven ; van der Hooft, Justin J. J. ; Ridder, Lars

Journal of cheminformatics, 2021-10, Vol.13 (1), p.84-84, Article 84 [Periódico revisado por pares]

Cham: Springer International Publishing

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7
Automatic Chemical Structure Annotation of an LC-MSn Based Metabolic Profile from Green Tea
Automatic Chemical Structure Annotation of an LC-MSn Based Metabolic Profile from Green Tea
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Automatic Chemical Structure Annotation of an LC-MSn Based Metabolic Profile from Green Tea

Ridder, Lars ; van der Hooft, Justin J J ; Verhoeven, Stefan ; de Vos, Ric C H ; Bino, Raoul J ; Vervoort, Jacques

Analytical chemistry (Washington), 2013-06, Vol.85 (12), p.6033-6033 [Periódico revisado por pares]

Washington: American Chemical Society

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8
Substructure-based annotation of high-resolution multistage MSn spectral trees
Substructure-based annotation of high-resolution multistage MSn spectral trees
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Substructure-based annotation of high-resolution multistage MSn spectral trees

Ridder, Lars ; van der Hooft, Justin J. J. ; Verhoeven, Stefan ; de Vos, Ric C. H. ; van Schaik, René ; Vervoort, Jacques

Rapid communications in mass spectrometry, 2012-10, Vol.26 (20), p.2461-2471 [Periódico revisado por pares]

Bognor Regis: Blackwell Publishing Ltd

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9
Structural Elucidation and Quantification of Phenolic Conjugates Present in Human Urine after Tea Intake
Structural Elucidation and Quantification of Phenolic Conjugates Present in Human Urine after Tea Intake
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Structural Elucidation and Quantification of Phenolic Conjugates Present in Human Urine after Tea Intake

van der Hooft, Justin J. J ; de Vos, Ric C. H ; Mihaleva, Velitchka ; Bino, Raoul J ; Ridder, Lars ; de Roo, Niels ; Jacobs, Doris M ; van Duynhoven, John P. M ; Vervoort, Jacques

Analytical chemistry (Washington), 2012-08, Vol.84 (16), p.7263-7271 [Periódico revisado por pares]

Washington, DC: American Chemical Society

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10
In Silico Prediction and Automatic LC–MSn Annotation of Green Tea Metabolites in Urine
In Silico Prediction and Automatic LC–MSn Annotation of Green Tea Metabolites in Urine
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In Silico Prediction and Automatic LC–MSn Annotation of Green Tea Metabolites in Urine

Ridder, L.O ; Hooft, J.J.J., van der ; Verhoeven, S ; Vos, R.C.H., de ; Vervoort, J.J.M ; Bino, R.J

Analytical chemistry (Washington), 2014-05, Vol.86 (10) [Periódico revisado por pares]

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Deste Autor:

  1. Kang, K
  2. Dittmann, E
  3. Hempel, B
  4. Verhoeven, S
  5. McAvoy, A

Neste Assunto:

  1. Science & Technology
  2. Life Sciences & Biomedicine
  3. Physical Sciences
  4. Chemistry
  5. Humans

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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