These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


PUBMED FOR HANDHELDS

Journal Abstract Search


247 related items for PubMed ID: 28158427

  • 1.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 2.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 3. Lipid-Pro: a computational lipid identification solution for untargeted lipidomics on data-independent acquisition tandem mass spectrometry platforms.
    Ahmed Z, Mayr M, Zeeshan S, Dandekar T, Mueller MJ, Fekete A.
    Bioinformatics; 2015 Apr 01; 31(7):1150-3. PubMed ID: 25433698
    [Abstract] [Full Text] [Related]

  • 4. LipidMatch: an automated workflow for rule-based lipid identification using untargeted high-resolution tandem mass spectrometry data.
    Koelmel JP, Kroeger NM, Ulmer CZ, Bowden JA, Patterson RE, Cochran JA, Beecher CWW, Garrett TJ, Yost RA.
    BMC Bioinformatics; 2017 Jul 10; 18(1):331. PubMed ID: 28693421
    [Abstract] [Full Text] [Related]

  • 5. LipiDex: An Integrated Software Package for High-Confidence Lipid Identification.
    Hutchins PD, Russell JD, Coon JJ.
    Cell Syst; 2018 May 23; 6(5):621-625.e5. PubMed ID: 29705063
    [Abstract] [Full Text] [Related]

  • 6.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 7. MS-DIAL: data-independent MS/MS deconvolution for comprehensive metabolome analysis.
    Tsugawa H, Cajka T, Kind T, Ma Y, Higgins B, Ikeda K, Kanazawa M, VanderGheynst J, Fiehn O, Arita M.
    Nat Methods; 2015 Jun 23; 12(6):523-6. PubMed ID: 25938372
    [Abstract] [Full Text] [Related]

  • 8. Lipid Mini-On: mining and ontology tool for enrichment analysis of lipidomic data.
    Clair G, Reehl S, Stratton KG, Monroe ME, Tfaily MM, Ansong C, Kyle JE.
    Bioinformatics; 2019 Nov 01; 35(21):4507-4508. PubMed ID: 30977807
    [Abstract] [Full Text] [Related]

  • 9. PIXiE: an algorithm for automated ion mobility arrival time extraction and collision cross section calculation using global data association.
    Ma J, Casey CP, Zheng X, Ibrahim YM, Wilkins CS, Renslow RS, Thomas DG, Payne SH, Monroe ME, Smith RD, Teeguarden JG, Baker ES, Metz TO.
    Bioinformatics; 2017 Sep 01; 33(17):2715-2722. PubMed ID: 28505286
    [Abstract] [Full Text] [Related]

  • 10. LipiDex 2 Integrates MSn Tree-Based Fragmentation Methods and Quality Control Modules to Improve Discovery Lipidomics.
    Anderson BJ, Brademan DR, He Y, Overmyer KA, Coon JJ.
    Anal Chem; 2024 Apr 30; 96(17):6715-6723. PubMed ID: 38640432
    [Abstract] [Full Text] [Related]

  • 11. Global Lipidomics Profiling by a High Resolution LC-MS Platform.
    Züllig T, Trötzmüller M, Köfeler HC.
    Methods Mol Biol; 2021 Apr 30; 2306():39-51. PubMed ID: 33954938
    [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.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 14.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 15. LC-IMS-MS Feature Finder: detecting multidimensional liquid chromatography, ion mobility and mass spectrometry features in complex datasets.
    Crowell KL, Slysz GW, Baker ES, LaMarche BL, Monroe ME, Ibrahim YM, Payne SH, Anderson GA, Smith RD.
    Bioinformatics; 2013 Nov 01; 29(21):2804-5. PubMed ID: 24008421
    [Abstract] [Full Text] [Related]

  • 16. MZDASoft: a software architecture that enables large-scale comparison of protein expression levels over multiple samples based on liquid chromatography/tandem mass spectrometry.
    Ghanat Bari M, Ramirez N, Wang Z, Zhang JM.
    Rapid Commun Mass Spectrom; 2015 Oct 15; 29(19):1841-8. PubMed ID: 26331936
    [Abstract] [Full Text] [Related]

  • 17. LipidIMMS Analyzer: integrating multi-dimensional information to support lipid identification in ion mobility-mass spectrometry based lipidomics.
    Zhou Z, Shen X, Chen X, Tu J, Xiong X, Zhu ZJ.
    Bioinformatics; 2019 Feb 15; 35(4):698-700. PubMed ID: 30052780
    [Abstract] [Full Text] [Related]

  • 18. Automated diagnosis of LC-MS/MS performance.
    Xu H, Freitas MA.
    Bioinformatics; 2009 May 15; 25(10):1341-3. PubMed ID: 19304874
    [Abstract] [Full Text] [Related]

  • 19.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 20. Recommendations for Accurate Lipid Annotation and Semi-absolute Quantification from LC-MS/MS Datasets.
    Wölk M, Fedorova M.
    Methods Mol Biol; 2025 May 15; 2855():269-287. PubMed ID: 39354313
    [Abstract] [Full Text] [Related]


    Page: [Next] [New Search]
    of 13.