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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; Letícia 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
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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4
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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5
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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6
sv-callers: a highly portable parallel workflow for structural variant detection in whole-genome sequence data
sv-callers: a highly portable parallel workflow for structural variant detection in whole-genome sequence data
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sv-callers: a highly portable parallel workflow for structural variant detection in whole-genome sequence data

Kuzniar, Arnold ; Maassen, Jason ; Verhoeven, Stefan ; Santuari, Luca ; Shneider, Carl ; Kloosterman, Wigard P ; de Ridder, Jeroen

PeerJ (San Francisco, CA), 2020-01, Vol.8, p.e8214-e8214, Article e8214 [Periódico revisado por pares]

United States: PeerJ, Inc

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7
3D-e-Chem-VM: Structural Cheminformatics Research Infrastructure in a Freely Available Virtual Machine
3D-e-Chem-VM: Structural Cheminformatics Research Infrastructure in a Freely Available Virtual Machine
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3D-e-Chem-VM: Structural Cheminformatics Research Infrastructure in a Freely Available Virtual Machine

McGuire, Ross ; Verhoeven, Stefan ; Vass, Márton ; Vriend, Gerrit ; de Esch, Iwan J. P ; Lusher, Scott J ; Leurs, Rob ; Ridder, Lars ; Kooistra, Albert J ; Ritschel, Tina ; de Graaf, Chris

Journal of chemical information and modeling, 2017-02, Vol.57 (2), p.115-121 [Periódico revisado por pares]

United States: American Chemical Society

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8
matchms - processing and similarity evaluation of mass spectrometry data
matchms - processing and similarity evaluation of mass spectrometry data
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matchms - processing and similarity evaluation of mass spectrometry data

Huber, Florian ; Verhoeven, Stefan ; Meijer, Christiaan ; Spreeuw, Hanno ; Castilla, Efraín ; Geng, Cunliang ; van der Hooft, Justin ; Rogers, Simon ; Belloum, Adam ; Diblen, Faruk ; Spaaks, Jurriaan

Journal of open source software, 2020-08, Vol.5 (52), p.2411

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9
ss-TEA: Entropy based identification of receptor specific ligand binding residues from a multiple sequence alignment of class A GPCRs
ss-TEA: Entropy based identification of receptor specific ligand binding residues from a multiple sequence alignment of class A GPCRs
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ss-TEA: Entropy based identification of receptor specific ligand binding residues from a multiple sequence alignment of class A GPCRs

Sanders, Marijn P A ; Fleuren, Wilco W M ; Verhoeven, Stefan ; van den Beld, Sven ; Alkema, Wynand ; de Vlieg, Jacob ; Klomp, Jan P G

BMC bioinformatics, 2011-08, Vol.12 (1), p.332-332, Article 332 [Periódico revisado por pares]

England: BioMed Central Ltd

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10
CoPub Mapper: mining MEDLINE based on search term co-publication
CoPub Mapper: mining MEDLINE based on search term co-publication
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CoPub Mapper: mining MEDLINE based on search term co-publication

Alako, Blaise T F ; Veldhoven, Antoine ; van Baal, Sjozef ; Jelier, Rob ; Verhoeven, Stefan ; Rullmann, Ton ; Polman, Jan ; Jenster, Guido

BMC bioinformatics, 2005-03, Vol.6 (1), p.51-51, Article 51 [Periódico revisado por pares]

England: BioMed Central Ltd

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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. Humans
  4. Female
  5. Male

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

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