BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

223 related articles for article (PubMed ID: 29790936)

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

  • 2. MetMSLine: an automated and fully integrated pipeline for rapid processing of high-resolution LC-MS metabolomic datasets.
    Edmands WM; Barupal DK; Scalbert A
    Bioinformatics; 2015 Mar; 31(5):788-90. PubMed ID: 25348215
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Automated optimization of XCMS parameters for improved peak picking of liquid chromatography-mass spectrometry data using the coefficient of variation and parameter sweeping for untargeted metabolomics.
    Manier SK; Keller A; Meyer MR
    Drug Test Anal; 2019 Jun; 11(6):752-761. PubMed ID: 30479047
    [TBL] [Abstract][Full Text] [Related]  

  • 4. peakPantheR, an R package for large-scale targeted extraction and integration of annotated metabolic features in LC-MS profiling datasets.
    Wolfer AM; D S Correia G; Sands CJ; Camuzeaux S; Yuen AHY; Chekmeneva E; Takáts Z; Pearce JTM; Lewis MR
    Bioinformatics; 2021 Dec; 37(24):4886-4888. PubMed ID: 34125879
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Comparison of peak-picking workflows for untargeted liquid chromatography/high-resolution mass spectrometry metabolomics data analysis.
    Rafiei A; Sleno L
    Rapid Commun Mass Spectrom; 2015 Jan; 29(1):119-27. PubMed ID: 25462372
    [TBL] [Abstract][Full Text] [Related]  

  • 6. CliqueMS: a computational tool for annotating in-source metabolite ions from LC-MS untargeted metabolomics data based on a coelution similarity network.
    Senan O; Aguilar-Mogas A; Navarro M; Capellades J; Noon L; Burks D; Yanes O; Guimerà R; Sales-Pardo M
    Bioinformatics; 2019 Oct; 35(20):4089-4097. PubMed ID: 30903689
    [TBL] [Abstract][Full Text] [Related]  

  • 7. LipidMS 3.0: an R-package and a web-based tool for LC-MS/MS data processing and lipid annotation.
    Alcoriza-Balaguer MI; García-Cañaveras JC; Ripoll-Esteve FJ; Roca M; Lahoz A
    Bioinformatics; 2022 Oct; 38(20):4826-4828. PubMed ID: 36005855
    [TBL] [Abstract][Full Text] [Related]  

  • 8. compMS2Miner: An Automatable Metabolite Identification, Visualization, and Data-Sharing R Package for High-Resolution LC-MS Data Sets.
    Edmands WM; Petrick L; Barupal DK; Scalbert A; Wilson MJ; Wickliffe JK; Rappaport SM
    Anal Chem; 2017 Apr; 89(7):3919-3928. PubMed ID: 28225587
    [TBL] [Abstract][Full Text] [Related]  

  • 9. G-Aligner: a graph-based feature alignment method for untargeted LC-MS-based metabolomics.
    Wang R; Lu M; An S; Wang J; Yu C
    BMC Bioinformatics; 2023 Nov; 24(1):431. PubMed ID: 37964228
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Targeted realignment of LC-MS profiles by neighbor-wise compound-specific graphical time warping with misalignment detection.
    Wu CT; Wang Y; Wang Y; Ebbels T; Karaman I; Graça G; Pinto R; Herrington DM; Wang Y; Yu G
    Bioinformatics; 2020 May; 36(9):2862-2871. PubMed ID: 31950989
    [TBL] [Abstract][Full Text] [Related]  

  • 11. metID: an R package for automatable compound annotation for LC-MS-based data.
    Shen X; Wu S; Liang L; Chen S; Contrepois K; Zhu ZJ; Snyder M
    Bioinformatics; 2022 Jan; 38(2):568-569. PubMed ID: 34432001
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Homologue series detection and management in LC-MS data with homologueDiscoverer.
    Mildau K; van der Hooft JJJ; Flasch M; Warth B; El Abiead Y; Koellensperger G; Zanghellini J; Büschl C
    Bioinformatics; 2022 Nov; 38(22):5139-5140. PubMed ID: 36165687
    [TBL] [Abstract][Full Text] [Related]  

  • 13. LIQUID: an-open source software for identifying lipids in LC-MS/MS-based lipidomics data.
    Kyle JE; Crowell KL; Casey CP; Fujimoto GM; Kim S; Dautel SE; Smith RD; Payne SH; Metz TO
    Bioinformatics; 2017 Jun; 33(11):1744-1746. PubMed ID: 28158427
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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; 36(9):2943-2945. PubMed ID: 31930381
    [TBL] [Abstract][Full Text] [Related]  

  • 15. DO-MS: Data-Driven Optimization of Mass Spectrometry Methods.
    Huffman RG; Chen A; Specht H; Slavov N
    J Proteome Res; 2019 Jun; 18(6):2493-2500. PubMed ID: 31081635
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Data Processing for GC-MS- and LC-MS-Based Untargeted Metabolomics.
    Yao L; Sheflin AM; Broeckling CD; Prenni JE
    Methods Mol Biol; 2019; 1978():287-299. PubMed ID: 31119670
    [TBL] [Abstract][Full Text] [Related]  

  • 17. MetaboAnalystR 4.0: a unified LC-MS workflow for global metabolomics.
    Pang Z; Xu L; Viau C; Lu Y; Salavati R; Basu N; Xia J
    Nat Commun; 2024 May; 15(1):3675. PubMed ID: 38693118
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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; 35(17):3196-3198. PubMed ID: 30649189
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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; 31(7):1150-3. PubMed ID: 25433698
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automated Annotation of Untargeted All-Ion Fragmentation LC-MS Metabolomics Data with MetaboAnnotatoR.
    Graça G; Cai Y; Lau CE; Vorkas PA; Lewis MR; Want EJ; Herrington D; Ebbels TMD
    Anal Chem; 2022 Mar; 94(8):3446-3455. PubMed ID: 35180347
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.