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Journal Abstract Search

113 related items for PubMed ID: 21298790

  • 1. Simulating and validating proteomics data and search results.
    Geromanos SJ, Hughes C, Golick D, Ciavarini S, Gorenstein MV, Richardson K, Hoyes JB, Vissers JP, Langridge JI.
    Proteomics; 2011 Mar; 11(6):1189-211. PubMed ID: 21298790
    [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; 11(6):1114-24. PubMed ID: 21298787
    [Abstract] [Full Text] [Related]

  • 3. The good, the bad, the ugly: validating the mass spectrometric analysis of modified peptides.
    Beck F, Lewandrowski U, Wiltfang M, Feldmann I, Geiger J, Sickmann A, Zahedi RP.
    Proteomics; 2011 Mar; 11(6):1099-109. PubMed ID: 21298789
    [Abstract] [Full Text] [Related]

  • 4. Quality control metrics for LC-MS feature detection tools demonstrated on Saccharomyces cerevisiae proteomic profiles.
    Piening BD, Wang P, Bangur CS, Whiteaker J, Zhang H, Feng LC, Keane JF, Eng JK, Tang H, Prakash A, McIntosh MW, Paulovich A.
    J Proteome Res; 2006 Jul; 5(7):1527-34. PubMed ID: 16823959
    [Abstract] [Full Text] [Related]

  • 5. 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; 11(6):1110-3. PubMed ID: 21365758
    [Abstract] [Full Text] [Related]

  • 6. Quality assessments of peptide-spectrum matches in shotgun proteomics.
    Granholm V, Käll L.
    Proteomics; 2011 Mar; 11(6):1086-93. PubMed ID: 21365749
    [Abstract] [Full Text] [Related]

  • 7. Quality control of nano-LC-MS systems using stable isotope-coded peptides.
    Burkhart JM, Premsler T, Sickmann A.
    Proteomics; 2011 Mar; 11(6):1049-57. PubMed ID: 21328538
    [Abstract] [Full Text] [Related]

  • 8. A reproducibility-based evaluation procedure for quantifying the differences between MS/MS peak intensity normalization methods.
    Degroeve S, Colaert N, Vandekerckhove J, Gevaert K, Martens L.
    Proteomics; 2011 Mar; 11(6):1172-80. PubMed ID: 21298791
    [Abstract] [Full Text] [Related]

  • 9. Combination of Edman degradation of peptides with liquid chromatography/mass spectrometry workflow for peptide identification in bottom-up proteomics.
    Lobas AA, Verenchikov AN, Goloborodko AA, Levitsky LI, Gorshkov MV.
    Rapid Commun Mass Spectrom; 2013 Feb 15; 27(3):391-400. PubMed ID: 23280970
    [Abstract] [Full Text] [Related]

  • 10. 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 15; 10(6):1172-89. PubMed ID: 20101609
    [Abstract] [Full Text] [Related]

  • 11. ProteinQuant Suite: a bundle of automated software tools for label-free quantitative proteomics.
    Mann B, Madera M, Sheng Q, Tang H, Mechref Y, Novotny MV.
    Rapid Commun Mass Spectrom; 2008 Dec 15; 22(23):3823-34. PubMed ID: 18985620
    [Abstract] [Full Text] [Related]

  • 12. Understanding the improved sensitivity of spectral library searching over sequence database searching in proteomics data analysis.
    Zhang X, Li Y, Shao W, Lam H.
    Proteomics; 2011 Mar 15; 11(6):1075-85. PubMed ID: 21298786
    [Abstract] [Full Text] [Related]

  • 13. iTRAQ protein quantification: a quality-controlled workflow.
    Burkhart JM, Vaudel M, Zahedi RP, Martens L, Sickmann A.
    Proteomics; 2011 Mar 15; 11(6):1125-34. PubMed ID: 21328540
    [Abstract] [Full Text] [Related]

  • 14. COMPASS: a suite of pre- and post-search proteomics software tools for OMSSA.
    Wenger CD, Phanstiel DH, Lee MV, Bailey DJ, Coon JJ.
    Proteomics; 2011 Mar 15; 11(6):1064-74. PubMed ID: 21298793
    [Abstract] [Full Text] [Related]

  • 15. Reversed-phase high-performance liquid chromatographic prefractionation of immunodepleted human serum proteins to enhance mass spectrometry identification of lower-abundant proteins.
    Martosella J, Zolotarjova N, Liu H, Nicol G, Boyes BE.
    J Proteome Res; 2005 Mar 15; 4(5):1522-37. PubMed ID: 16212403
    [Abstract] [Full Text] [Related]

  • 16. Isocratic solid phase extraction-liquid chromatography (SPE-LC) interfaced to high-performance tandem mass spectrometry for rapid protein identification.
    Hørning OB, Kjeldsen F, Theodorsen S, Vorm O, Jensen ON.
    J Proteome Res; 2008 Aug 15; 7(8):3159-67. PubMed ID: 18578518
    [Abstract] [Full Text] [Related]

  • 17. Average peptide score: a useful parameter for identification of proteins derived from database searches of liquid chromatography/tandem mass spectrometry data.
    Chepanoske CL, Richardson BE, von Rechenberg M, Peltier JM.
    Rapid Commun Mass Spectrom; 2005 Aug 15; 19(1):9-14. PubMed ID: 15573416
    [Abstract] [Full Text] [Related]

  • 18. A global analysis of peptide fragmentation variability.
    Barsnes H, Eidhammer I, Martens L.
    Proteomics; 2011 Mar 15; 11(6):1181-8. PubMed ID: 21328539
    [Abstract] [Full Text] [Related]

  • 19. Added value for tandem mass spectrometry shotgun proteomics data validation through isoelectric focusing of peptides.
    Heller M, Ye M, Michel PE, Morier P, Stalder D, Jünger MA, Aebersold R, Reymond F, Rossier JS.
    J Proteome Res; 2005 Mar 15; 4(6):2273-82. PubMed ID: 16335976
    [Abstract] [Full Text] [Related]

  • 20. An iterative strategy for precursor ion selection for LC-MS/MS based shotgun proteomics.
    Zerck A, Nordhoff E, Resemann A, Mirgorodskaya E, Suckau D, Reinert K, Lehrach H, Gobom J.
    J Proteome Res; 2009 Jul 15; 8(7):3239-51. PubMed ID: 19402737
    [Abstract] [Full Text] [Related]

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