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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

229 related items for PubMed ID: 30726876

  • 1. 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
    [Abstract] [Full Text] [Related]

  • 2. geoRge: A Computational Tool To Detect the Presence of Stable Isotope Labeling in LC/MS-Based Untargeted Metabolomics.
    Capellades J, Navarro M, Samino S, Garcia-Ramirez M, Hernandez C, Simo R, Vinaixa M, Yanes O.
    Anal Chem; 2016 Jan 05; 88(1):621-8. PubMed ID: 26639619
    [Abstract] [Full Text] [Related]

  • 3. RawHummus: an R Shiny app for automated raw data quality control in metabolomics.
    Dong Y, Kazachkova Y, Gou M, Morgan L, Wachsman T, Gazit E, Birkler RID.
    Bioinformatics; 2022 Mar 28; 38(7):2072-2074. PubMed ID: 35080628
    [Abstract] [Full Text] [Related]

  • 4. 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
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  • 5. CCWeights: an R package and web application for automated evaluation and selection of weighting factors for accurate quantification using linear calibration curve.
    Dong Y, Wachsman T, Morgan L, Gazit E, Birkler RID.
    Bioinform Adv; 2021 Sep 01; 1(1):vbab029. PubMed ID: 36700106
    [Abstract] [Full Text] [Related]

  • 6. MorphoTools2: an R package for multivariate morphometric analysis.
    Šlenker M, Koutecký P, Marhold K.
    Bioinformatics; 2022 May 13; 38(10):2954-2955. PubMed ID: 35561177
    [Abstract] [Full Text] [Related]

  • 7. 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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  • 10. Metandem: An online software tool for mass spectrometry-based isobaric labeling metabolomics.
    Hao L, Zhu Y, Wei P, Johnson J, Buchberger A, Frost D, Kao WJ, Li L.
    Anal Chim Acta; 2019 Dec 11; 1088():99-106. PubMed ID: 31623721
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  • 11. MetaboAnalystR: an R package for flexible and reproducible analysis of metabolomics data.
    Chong J, Xia J.
    Bioinformatics; 2018 Dec 15; 34(24):4313-4314. PubMed ID: 29955821
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  • 12. MobilityTransformR: an R package for effective mobility transformation of CE-MS data.
    Salzer L, Witting M, Schmitt-Kopplin P.
    Bioinformatics; 2022 Aug 10; 38(16):4044-4045. PubMed ID: 35781328
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  • 13. NormalizeMets: assessing, selecting and implementing statistical methods for normalizing metabolomics data.
    De Livera AM, Olshansky G, Simpson JA, Creek DJ.
    Metabolomics; 2018 Mar 20; 14(5):54. PubMed ID: 30830328
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  • 14. Interoperable and scalable data analysis with microservices: applications in metabolomics.
    Emami Khoonsari P, Moreno P, Bergmann S, Burman J, Capuccini M, Carone M, Cascante M, de Atauri P, Foguet C, Gonzalez-Beltran AN, Hankemeier T, Haug K, He S, Herman S, Johnson D, Kale N, Larsson A, Neumann S, Peters K, Pireddu L, Rocca-Serra P, Roger P, Rueedi R, Ruttkies C, Sadawi N, Salek RM, Sansone SA, Schober D, Selivanov V, Thévenot EA, van Vliet M, Zanetti G, Steinbeck C, Kultima K, Spjuth O.
    Bioinformatics; 2019 Oct 01; 35(19):3752-3760. PubMed ID: 30851093
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