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Journal Abstract Search

183 related items for PubMed ID: 19714873

  • 1. A refined method to calculate false discovery rates for peptide identification using decoy databases.
    Navarro P, Vázquez J.
    J Proteome Res; 2009 Apr; 8(4):1792-6. PubMed ID: 19714873
    [Abstract] [Full Text] [Related]

  • 2. Instance based algorithm for posterior probability calculation by target-decoy strategy to improve protein identifications.
    Jiang X, Dong X, Ye M, Zou H.
    Anal Chem; 2008 Dec 01; 80(23):9326-35. PubMed ID: 19551949
    [Abstract] [Full Text] [Related]

  • 3. Artificial decoy spectral libraries for false discovery rate estimation in spectral library searching in proteomics.
    Lam H, Deutsch EW, Aebersold R.
    J Proteome Res; 2010 Jan 01; 9(1):605-10. PubMed ID: 19916561
    [Abstract] [Full Text] [Related]

  • 4. An improved method for the construction of decoy peptide MS/MS spectra suitable for the accurate estimation of false discovery rates.
    Ahrné E, Ohta Y, Nikitin F, Scherl A, Lisacek F, Müller M.
    Proteomics; 2011 Oct 01; 11(20):4085-95. PubMed ID: 21898822
    [Abstract] [Full Text] [Related]

  • 5. Maximizing the sensitivity and reliability of peptide identification in large-scale proteomic experiments by harnessing multiple search engines.
    Yu W, Taylor JA, Davis MT, Bonilla LE, Lee KA, Auger PL, Farnsworth CC, Welcher AA, Patterson SD.
    Proteomics; 2010 Mar 01; 10(6):1172-89. PubMed ID: 20101609
    [Abstract] [Full Text] [Related]

  • 6. Estimating false discovery rates for peptide and protein identification using randomized databases.
    Hather G, Higdon R, Bauman A, von Haller PD, Kolker E.
    Proteomics; 2010 Jun 01; 10(12):2369-76. PubMed ID: 20391536
    [Abstract] [Full Text] [Related]

  • 7. MUDE: a new approach for optimizing sensitivity in the target-decoy search strategy for large-scale peptide/protein identification.
    Cerqueira FR, Graber A, Schwikowski B, Baumgartner C.
    J Proteome Res; 2010 May 07; 9(5):2265-77. PubMed ID: 20199108
    [Abstract] [Full Text] [Related]

  • 8. Support vector machines for improved peptide identification from tandem mass spectrometry database search.
    Webb-Robertson BJ.
    Methods Mol Biol; 2009 May 07; 492():453-60. PubMed ID: 19241051
    [Abstract] [Full Text] [Related]

  • 9. Oscore: a combined score to reduce false negative rates for peptide identification in tandem mass spectrometry analysis.
    Shao C, Sun W, Li F, Yang R, Zhang L, Gao Y.
    J Mass Spectrom; 2009 Jan 07; 44(1):25-31. PubMed ID: 18698557
    [Abstract] [Full Text] [Related]

  • 10. Database searching and accounting of multiplexed precursor and product ion spectra from the data independent analysis of simple and complex peptide mixtures.
    Li GZ, Vissers JP, Silva JC, Golick D, Gorenstein MV, Geromanos SJ.
    Proteomics; 2009 Mar 07; 9(6):1696-719. PubMed ID: 19294629
    [Abstract] [Full Text] [Related]

  • 11. An easy-to-use Decoy Database Builder software tool, implementing different decoy strategies for false discovery rate calculation in automated MS/MS protein identifications.
    Reidegeld KA, Eisenacher M, Kohl M, Chamrad D, Körting G, Blüggel M, Meyer HE, Stephan C.
    Proteomics; 2008 Mar 07; 8(6):1129-37. PubMed ID: 18338823
    [Abstract] [Full Text] [Related]

  • 12. Probability-based pattern recognition and statistical framework for randomization: modeling tandem mass spectrum/peptide sequence false match frequencies.
    Feng J, Naiman DQ, Cooper B.
    Bioinformatics; 2007 Sep 01; 23(17):2210-7. PubMed ID: 17510167
    [Abstract] [Full Text] [Related]

  • 13. A new strategy to filter out false positive identifications of peptides in SEQUEST database search results.
    Zhang J, Li J, Xie H, Zhu Y, He F.
    Proteomics; 2007 Nov 01; 7(22):4036-44. PubMed ID: 17952874
    [Abstract] [Full Text] [Related]

  • 14. Statistical models for protein validation using tandem mass spectral data and protein amino acid sequence databases.
    Sadygov RG, Liu H, Yates JR.
    Anal Chem; 2004 Mar 15; 76(6):1664-71. PubMed ID: 15018565
    [Abstract] [Full Text] [Related]

  • 15. Effect of cleavage enzyme, search algorithm and decoy database on mass spectrometric identification of wheat gluten proteins.
    Vensel WH, Dupont FM, Sloane S, Altenbach SB.
    Phytochemistry; 2011 Jul 15; 72(10):1154-61. PubMed ID: 21292286
    [Abstract] [Full Text] [Related]

  • 16. Nonlinear fitting method for determining local false discovery rates from decoy database searches.
    Tang WH, Shilov IV, Seymour SL.
    J Proteome Res; 2008 Sep 15; 7(9):3661-7. PubMed ID: 18700793
    [Abstract] [Full Text] [Related]

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  • 20. Integrated approach for manual evaluation of peptides identified by searching protein sequence databases with tandem mass spectra.
    Chen Y, Kwon SW, Kim SC, Zhao Y.
    J Proteome Res; 2005 Sep 15; 4(3):998-1005. PubMed ID: 15952748
    [Abstract] [Full Text] [Related]

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