These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

327 related articles for article (PubMed ID: 24136522)

  • 1. Global quantitative proteomics using spectral counting: an inexpensive experimental and bioinformatics workflow for deep proteome coverage.
    Balbuena TS; Demartini DR; Thelen JJ
    Methods Mol Biol; 2014; 1072():171-83. PubMed ID: 24136522
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Proteome informatics I: bioinformatics tools for processing experimental data.
    Palagi PM; Hernandez P; Walther D; Appel RD
    Proteomics; 2006 Oct; 6(20):5435-44. PubMed ID: 16991191
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Label-Based and Label-Free Strategies for Protein Quantitation.
    Anand S; Samuel M; Ang CS; Keerthikumar S; Mathivanan S
    Methods Mol Biol; 2017; 1549():31-43. PubMed ID: 27975282
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Qupe--a Rich Internet Application to take a step forward in the analysis of mass spectrometry-based quantitative proteomics experiments.
    Albaum SP; Neuweger H; Fränzel B; Lange S; Mertens D; Trötschel C; Wolters D; Kalinowski J; Nattkemper TW; Goesmann A
    Bioinformatics; 2009 Dec; 25(23):3128-34. PubMed ID: 19808875
    [TBL] [Abstract][Full Text] [Related]  

  • 5. STEM: a software tool for large-scale proteomic data analyses.
    Shinkawa T; Taoka M; Yamauchi Y; Ichimura T; Kaji H; Takahashi N; Isobe T
    J Proteome Res; 2005; 4(5):1826-31. PubMed ID: 16212438
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Bioinformatics in mass spectrometry data analysis for proteomics studies.
    Cristoni S; Bernardi LR
    Expert Rev Proteomics; 2004 Dec; 1(4):469-83. PubMed ID: 15966842
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Clinical proteome informatics workbench detects pathogenic mutations in hereditary amyloidoses.
    Dasari S; Theis JD; Vrana JA; Zenka RM; Zimmermann MT; Kocher JP; Highsmith WE; Kurtin PJ; Dogan A
    J Proteome Res; 2014 May; 13(5):2352-8. PubMed ID: 24650283
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Analysis of mass spectrometry data in proteomics.
    Matthiesen R; Jensen ON
    Methods Mol Biol; 2008; 453():105-22. PubMed ID: 18712299
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Combination of Multiple Spectral Libraries Improves the Current Search Methods Used to Identify Missing Proteins in the Chromosome-Centric Human Proteome Project.
    Cho JY; Lee HJ; Jeong SK; Kim KY; Kwon KH; Yoo JS; Omenn GS; Baker MS; Hancock WS; Paik YK
    J Proteome Res; 2015 Dec; 14(12):4959-66. PubMed ID: 26330117
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A multi-model statistical approach for proteomic spectral count quantitation.
    Branson OE; Freitas MA
    J Proteomics; 2016 Jul; 144():23-32. PubMed ID: 27260494
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The workflow for quantitative proteome analysis of chloroplast development and differentiation, chloroplast mutants, and protein interactions by spectral counting.
    Friso G; Olinares PD; van Wijk KJ
    Methods Mol Biol; 2011; 775():265-82. PubMed ID: 21863448
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Pre- and post-processing workflow for affinity purification mass spectrometry data.
    Fischer M; Zilkenat S; Gerlach RG; Wagner S; Renard BY
    J Proteome Res; 2014 May; 13(5):2239-49. PubMed ID: 24641689
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Workflow for quantitative proteomic analysis of Clostridium acetobutylicum ATCC 824 using iTRAQ tags.
    Hou S; Jones SW; Choe LH; Papoutsakis ET; Lee KH
    Methods; 2013 Jun; 61(3):269-76. PubMed ID: 23523702
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Arabidopsis proteomics: a simple and standardizable workflow for quantitative proteome characterization.
    Rödiger A; Agne B; Baerenfaller K; Baginsky S
    Methods Mol Biol; 2014; 1072():275-88. PubMed ID: 24136529
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Recent developments in proteome informatics for mass spectrometry analysis.
    Wright JC; Hubbard SJ
    Comb Chem High Throughput Screen; 2009 Feb; 12(2):194-202. PubMed ID: 19199887
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Investigation of the mouse serum proteome.
    Hood BL; Zhou M; Chan KC; Lucas DA; Kim GJ; Issaq HJ; Veenstra TD; Conrads TP
    J Proteome Res; 2005; 4(5):1561-8. PubMed ID: 16212407
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Elective affinities--bioinformatic analysis of proteomic mass spectrometry data.
    Li X; Pizarro A; Grosser T
    Arch Physiol Biochem; 2009 Dec; 115(5):311-9. PubMed ID: 19911947
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Bioinformatics and data mining in proteomics.
    Haoudi A; Bensmail H
    Expert Rev Proteomics; 2006 Jun; 3(3):333-43. PubMed ID: 16771705
    [TBL] [Abstract][Full Text] [Related]  

  • 19. EBprot: Statistical analysis of labeling-based quantitative proteomics data.
    Koh HW; Swa HL; Fermin D; Ler SG; Gunaratne J; Choi H
    Proteomics; 2015 Aug; 15(15):2580-91. PubMed ID: 25913743
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Current trends in computational inference from mass spectrometry-based proteomics.
    Webb-Robertson BJ; Cannon WR
    Brief Bioinform; 2007 Sep; 8(5):304-17. PubMed ID: 17584764
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.