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Journal Abstract Search

484 related items for PubMed ID: 23391308

  • 1. An automated pipeline for high-throughput label-free quantitative proteomics.
    Weisser H, Nahnsen S, Grossmann J, Nilse L, Quandt A, Brauer H, Sturm M, Kenar E, Kohlbacher O, Aebersold R, Malmström L.
    J Proteome Res; 2013 Apr 05; 12(4):1628-44. PubMed ID: 23391308
    [Abstract] [Full Text] [Related]

  • 2. Comparative evaluation of label-free SINQ normalized spectral index quantitation in the central proteomics facilities pipeline.
    Trudgian DC, Ridlova G, Fischer R, Mackeen MM, Ternette N, Acuto O, Kessler BM, Thomas B.
    Proteomics; 2011 Jul 05; 11(14):2790-7. PubMed ID: 21656681
    [Abstract] [Full Text] [Related]

  • 3. i-RUBY: a novel software for quantitative analysis of highly accurate shotgun-proteomics liquid chromatography/tandem mass spectrometry data obtained without stable-isotope labeling of proteins.
    Wada K, Ogiwara A, Nagasaka K, Tanaka N, Komatsu Y.
    Rapid Commun Mass Spectrom; 2011 Apr 15; 25(7):960-8. PubMed ID: 21416533
    [Abstract] [Full Text] [Related]

  • 4. LFQuant: a label-free fast quantitative analysis tool for high-resolution LC-MS/MS proteomics data.
    Zhang W, Zhang J, Xu C, Li N, Liu H, Ma J, Zhu Y, Xie H.
    Proteomics; 2012 Dec 15; 12(23-24):3475-84. PubMed ID: 23081734
    [Abstract] [Full Text] [Related]

  • 5. RIBAR and xRIBAR: Methods for reproducible relative MS/MS-based label-free protein quantification.
    Colaert N, Gevaert K, Martens L.
    J Proteome Res; 2011 Jul 01; 10(7):3183-9. PubMed ID: 21604685
    [Abstract] [Full Text] [Related]

  • 6. MassUntangler: a novel alignment tool for label-free liquid chromatography-mass spectrometry proteomic data.
    Ballardini R, Benevento M, Arrigoni G, Pattini L, Roda A.
    J Chromatogr A; 2011 Dec 09; 1218(49):8859-68. PubMed ID: 21783198
    [Abstract] [Full Text] [Related]

  • 7. Shape-based feature matching improves protein identification via LC-MS and tandem MS.
    Noy K, Towfic F, Wittenberg GM, Fasulo D.
    J Comput Biol; 2011 Apr 09; 18(4):547-57. PubMed ID: 21417940
    [Abstract] [Full Text] [Related]

  • 8. Targeted Feature Detection for Data-Dependent Shotgun Proteomics.
    Weisser H, Choudhary JS.
    J Proteome Res; 2017 Aug 04; 16(8):2964-2974. PubMed ID: 28673088
    [Abstract] [Full Text] [Related]

  • 9. OpenMS and TOPP: open source software for LC-MS data analysis.
    Reinert K, Kohlbacher O.
    Methods Mol Biol; 2010 Aug 04; 604():201-11. PubMed ID: 20013373
    [Abstract] [Full Text] [Related]

  • 10. 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]

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  • 13. Computational methods for the comparative quantification of proteins in label-free LCn-MS experiments.
    Wong JW, Sullivan MJ, Cagney G.
    Brief Bioinform; 2008 Mar 15; 9(2):156-65. PubMed ID: 17905794
    [Abstract] [Full Text] [Related]

  • 14. Quantification of proteins by label-free LC-MS/MS.
    Levin Y, Bahn S.
    Methods Mol Biol; 2010 Mar 15; 658():217-31. PubMed ID: 20839107
    [Abstract] [Full Text] [Related]

  • 15. Platforms and Pipelines for Proteomics Data Analysis and Management.
    Codrea MC, Nahnsen S.
    Adv Exp Med Biol; 2016 Mar 15; 919():203-215. PubMed ID: 27975218
    [Abstract] [Full Text] [Related]

  • 16. MaxQuant Software for Ion Mobility Enhanced Shotgun Proteomics.
    Prianichnikov N, Koch H, Koch S, Lubeck M, Heilig R, Brehmer S, Fischer R, Cox J.
    Mol Cell Proteomics; 2020 Jun 15; 19(6):1058-1069. PubMed ID: 32156793
    [Abstract] [Full Text] [Related]

  • 17. Comparative LC-MS: a landscape of peaks and valleys.
    America AH, Cordewener JH.
    Proteomics; 2008 Feb 15; 8(4):731-49. PubMed ID: 18297651
    [Abstract] [Full Text] [Related]

  • 18. An assessment of software solutions for the analysis of mass spectrometry based quantitative proteomics data.
    Mueller LN, Brusniak MY, Mani DR, Aebersold R.
    J Proteome Res; 2008 Jan 15; 7(1):51-61. PubMed ID: 18173218
    [Abstract] [Full Text] [Related]

  • 19. APP: an Automated Proteomics Pipeline for the analysis of mass spectrometry data based on multiple open access tools.
    Malm EK, Srivastava V, Sundqvist G, Bulone V.
    BMC Bioinformatics; 2014 Dec 30; 15(1):441. PubMed ID: 25547515
    [Abstract] [Full Text] [Related]

  • 20. An Optimized Informatics Pipeline for Mass Spectrometry-Based Peptidomics.
    Wu C, Monroe ME, Xu Z, Slysz GW, Payne SH, Rodland KD, Liu T, Smith RD.
    J Am Soc Mass Spectrom; 2015 Dec 30; 26(12):2002-8. PubMed ID: 26015166
    [Abstract] [Full Text] [Related]

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