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Journal Abstract Search

364 related items for PubMed ID: 31930381

  • 1. AlpsNMR: an R package for signal processing of fully untargeted NMR-based metabolomics.
    Madrid-Gambin F, Oller-Moreno S, Fernandez L, Bartova S, Giner MP, Joyce C, Ferraro F, Montoliu I, Moco S, Marco S.
    Bioinformatics; 2020 May 01; 36(9):2943-2945. PubMed ID: 31930381
    [Abstract] [Full Text] [Related]

  • 2. ASICS: an R package for a whole analysis workflow of 1D 1H NMR spectra.
    Lefort G, Liaubet L, Canlet C, Tardivel P, Père MC, Quesnel H, Paris A, Iannuccelli N, Vialaneix N, Servien R.
    Bioinformatics; 2019 Nov 01; 35(21):4356-4363. PubMed ID: 30977816
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  • 3. speaq 2.0: A complete workflow for high-throughput 1D NMR spectra processing and quantification.
    Beirnaert C, Meysman P, Vu TN, Hermans N, Apers S, Pieters L, Covaci A, Laukens K.
    PLoS Comput Biol; 2018 Mar 01; 14(3):e1006018. PubMed ID: 29494588
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  • 4. An integrated workflow for robust alignment and simplified quantitative analysis of NMR spectrometry data.
    Vu TN, Valkenborg D, Smets K, Verwaest KA, Dommisse R, Lemière F, Verschoren A, Goethals B, Laukens K.
    BMC Bioinformatics; 2011 Oct 20; 12():405. PubMed ID: 22014236
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  • 5.
    Kobeissy FH, Wolahan SM, Hirt D, Glenn TC.
    ; 2015 Oct 20. PubMed ID: 26269925
    [Abstract] [Full Text] [Related]

  • 6. Focus: a robust workflow for one-dimensional NMR spectral analysis.
    Alonso A, Rodríguez MA, Vinaixa M, Tortosa R, Correig X, Julià A, Marsal S.
    Anal Chem; 2014 Jan 21; 86(2):1160-9. PubMed ID: 24354303
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  • 7. KIMBLE: A versatile visual NMR metabolomics workbench in KNIME.
    Verhoeven A, Giera M, Mayboroda OA.
    Anal Chim Acta; 2018 Dec 31; 1044():66-76. PubMed ID: 30442406
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  • 8. Affine Transformation of Negative Values for NMR Metabolomics Using the mrbin R Package.
    Klein MS.
    J Proteome Res; 2021 Feb 05; 20(2):1397-1404. PubMed ID: 33417772
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  • 9. An evolving computational platform for biological mass spectrometry: workflows, statistics and data mining with MASSyPup64.
    Winkler R.
    PeerJ; 2015 Feb 05; 3():e1401. PubMed ID: 26618079
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  • 10. CluMSID: an R package for similarity-based clustering of tandem mass spectra to aid feature annotation in metabolomics.
    Depke T, Franke R, Brönstrup M.
    Bioinformatics; 2019 Sep 01; 35(17):3196-3198. PubMed ID: 30649189
    [Abstract] [Full Text] [Related]

  • 11. eRah: A Computational Tool Integrating Spectral Deconvolution and Alignment with Quantification and Identification of Metabolites in GC/MS-Based Metabolomics.
    Domingo-Almenara X, Brezmes J, Vinaixa M, Samino S, Ramirez N, Ramon-Krauel M, Lerin C, Díaz M, Ibáñez L, Correig X, Perera-Lluna A, Yanes O.
    Anal Chem; 2016 Oct 04; 88(19):9821-9829. PubMed ID: 27584001
    [Abstract] [Full Text] [Related]

  • 12. SimExTargId: a comprehensive package for real-time LC-MS data acquisition and analysis.
    Edmands WMB, Hayes J, Rappaport SM.
    Bioinformatics; 2018 Oct 15; 34(20):3589-3590. PubMed ID: 29790936
    [Abstract] [Full Text] [Related]

  • 13. Create, run, share, publish, and reference your LC-MS, FIA-MS, GC-MS, and NMR data analysis workflows with the Workflow4Metabolomics 3.0 Galaxy online infrastructure for metabolomics.
    Guitton Y, Tremblay-Franco M, Le Corguillé G, Martin JF, Pétéra M, Roger-Mele P, Delabrière A, Goulitquer S, Monsoor M, Duperier C, Canlet C, Servien R, Tardivel P, Caron C, Giacomoni F, Thévenot EA.
    Int J Biochem Cell Biol; 2017 Dec 15; 93():89-101. PubMed ID: 28710041
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  • 14. MagMet: A fully automated web server for targeted nuclear magnetic resonance metabolomics of plasma and serum.
    Rout M, Lipfert M, Lee BL, Berjanskii M, Assempour N, Fresno RV, Cayuela AS, Dong Y, Johnson M, Shahin H, Gautam V, Sajed T, Oler E, Peters H, Mandal R, Wishart DS.
    Magn Reson Chem; 2023 Dec 15; 61(12):681-704. PubMed ID: 37265034
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  • 15. MetumpX-a metabolomics support package for untargeted mass spectrometry.
    Wajid B, Iqbal H, Jamil M, Rafique H, Anwar F.
    Bioinformatics; 2020 Mar 01; 36(5):1647-1648. PubMed ID: 31596440
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  • 16. BATMAN--an R package for the automated quantification of metabolites from nuclear magnetic resonance spectra using a Bayesian model.
    Hao J, Astle W, De Iorio M, Ebbels TM.
    Bioinformatics; 2012 Aug 01; 28(15):2088-90. PubMed ID: 22635605
    [Abstract] [Full Text] [Related]

  • 17. MetaboDiff: an R package for differential metabolomic analysis.
    Mock A, Warta R, Dettling S, Brors B, Jäger D, Herold-Mende C.
    Bioinformatics; 2018 Oct 01; 34(19):3417-3418. PubMed ID: 29718102
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  • 18. MetFlow: an interactive and integrated workflow for metabolomics data cleaning and differential metabolite discovery.
    Shen X, Zhu ZJ.
    Bioinformatics; 2019 Aug 15; 35(16):2870-2872. PubMed ID: 30601938
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  • 19. MetaboLab--advanced NMR data processing and analysis for metabolomics.
    Ludwig C, Günther UL.
    BMC Bioinformatics; 2011 Sep 13; 12():366. PubMed ID: 21914187
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  • 20. Miso: an R package for multiple isotope labeling assisted metabolomics data analysis.
    Dong Y, Feldberg L, Aharoni A.
    Bioinformatics; 2019 Sep 15; 35(18):3524-3526. PubMed ID: 30726876
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