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Journal Abstract Search

175 related items for PubMed ID: 26321463

  • 1. Optimization of Statistical Methods Impact on Quantitative Proteomics Data.
    Pursiheimo A, Vehmas AP, Afzal S, Suomi T, Chand T, Strauss L, Poutanen M, Rokka A, Corthals GL, Elo LL.
    J Proteome Res; 2015 Oct 02; 14(10):4118-26. PubMed ID: 26321463
    [Abstract] [Full Text] [Related]

  • 2. Generic workflow for quality assessment of quantitative label-free LC-MS analysis.
    Sandin M, Krogh M, Hansson K, Levander F.
    Proteomics; 2011 Mar 02; 11(6):1114-24. PubMed ID: 21298787
    [Abstract] [Full Text] [Related]

  • 3. A comparison of MS2-based label-free quantitative proteomic techniques with regards to accuracy and precision.
    Colaert N, Vandekerckhove J, Gevaert K, Martens L.
    Proteomics; 2011 Mar 02; 11(6):1110-3. PubMed ID: 21365758
    [Abstract] [Full Text] [Related]

  • 4. Semi-supervised learning for peptide identification from shotgun proteomics datasets.
    Käll L, Canterbury JD, Weston J, Noble WS, MacCoss MJ.
    Nat Methods; 2007 Nov 02; 4(11):923-5. PubMed ID: 17952086
    [Abstract] [Full Text] [Related]

  • 5. Application of label-free proteomics for differential analysis of lung carcinoma cell line A549.
    Sitek B, Waldera-Lupa DM, Poschmann G, Meyer HE, Stühler K.
    Methods Mol Biol; 2012 Nov 02; 893():241-8. PubMed ID: 22665305
    [Abstract] [Full Text] [Related]

  • 6. Proteotyping of microbial communities by optimization of tandem mass spectrometry data interpretation.
    Hugo A, Baxter DJ, Cannon WR, Kalyanaraman A, Kulkarni G, Callister SJ.
    Pac Symp Biocomput; 2012 Nov 02; ():225-34. PubMed ID: 22174278
    [Abstract] [Full Text] [Related]

  • 7. ABRF Proteome Informatics Research Group (iPRG) 2015 Study: Detection of Differentially Abundant Proteins in Label-Free Quantitative LC-MS/MS Experiments.
    Choi M, Eren-Dogu ZF, Colangelo C, Cottrell J, Hoopmann MR, Kapp EA, Kim S, Lam H, Neubert TA, Palmblad M, Phinney BS, Weintraub ST, MacLean B, Vitek O.
    J Proteome Res; 2017 Feb 03; 16(2):945-957. PubMed ID: 27990823
    [Abstract] [Full Text] [Related]

  • 8. 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 03; 12(23-24):3475-84. PubMed ID: 23081734
    [Abstract] [Full Text] [Related]

  • 9. Improvements in Mass Spectrometry Assay Library Generation for Targeted Proteomics.
    Teleman J, Hauri S, Malmström J.
    J Proteome Res; 2017 Jul 07; 16(7):2384-2392. PubMed ID: 28516777
    [Abstract] [Full Text] [Related]

  • 10. Data extraction from proteomics raw data: an evaluation of nine tandem MS tools using a large Orbitrap data set.
    Mancuso F, Bunkenborg J, Wierer M, Molina H.
    J Proteomics; 2012 Sep 18; 75(17):5293-303. PubMed ID: 22728601
    [Abstract] [Full Text] [Related]

  • 11. 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]

  • 12. A new insight into the impact of different proteases on SILAC quantitative proteome of the mouse liver.
    Ma J, Li W, Lv Y, Chang C, Wu S, Song L, Ding C, Wei H, He F, Jiang Y, Zhu Y.
    Proteomics; 2013 Aug 01; 13(15):2238-42. PubMed ID: 23703833
    [Abstract] [Full Text] [Related]

  • 13. A global analysis of peptide fragmentation variability.
    Barsnes H, Eidhammer I, Martens L.
    Proteomics; 2011 Mar 01; 11(6):1181-8. PubMed ID: 21328539
    [Abstract] [Full Text] [Related]

  • 14. 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]

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  • 17. In vivo quantitative proteome profiling: planning and evaluation of SILAC experiments.
    Kirchner M, Selbach M.
    Methods Mol Biol; 2012 Apr 15; 893():175-99. PubMed ID: 22665302
    [Abstract] [Full Text] [Related]

  • 18. Tissue proteomics by one-dimensional gel electrophoresis combined with label-free protein quantification.
    Vasilj A, Gentzel M, Ueberham E, Gebhardt R, Shevchenko A.
    J Proteome Res; 2012 Jul 06; 11(7):3680-9. PubMed ID: 22671763
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  • 20. Cross-correlation of spectral count ranking to validate quantitative proteome measurements.
    Kannaste O, Suomi T, Salmi J, Uusipaikka E, Nevalainen O, Corthals GL.
    J Proteome Res; 2014 Apr 04; 13(4):1957-68. PubMed ID: 24611565
    [Abstract] [Full Text] [Related]

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