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 *

131 related articles for article (PubMed ID: 20150965)

  • 1. Improved label-free LC-MS analysis by wavelet-based noise rejection.
    Cappadona S; Nanni P; Benevento M; Levander F; Versura P; Roda A; Cerutti S; Pattini L
    J Biomed Biotechnol; 2010; 2010():131505. PubMed ID: 20150965
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Corra: Computational framework and tools for LC-MS discovery and targeted mass spectrometry-based proteomics.
    Brusniak MY; Bodenmiller B; Campbell D; Cooke K; Eddes J; Garbutt A; Lau H; Letarte S; Mueller LN; Sharma V; Vitek O; Zhang N; Aebersold R; Watts JD
    BMC Bioinformatics; 2008 Dec; 9():542. PubMed ID: 19087345
    [TBL] [Abstract][Full Text] [Related]  

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

  • 4. 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; 1218(49):8859-68. PubMed ID: 21783198
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A simple peak detection and label-free quantitation algorithm for chromatography-mass spectrometry.
    Aoshima K; Takahashi K; Ikawa M; Kimura T; Fukuda M; Tanaka S; Parry HE; Fujita Y; Yoshizawa AC; Utsunomiya S; Kajihara S; Tanaka K; Oda Y
    BMC Bioinformatics; 2014 Nov; 15(1):376. PubMed ID: 25420746
    [TBL] [Abstract][Full Text] [Related]  

  • 6. LC-MS data analysis for differential protein expression detection.
    Varghese RS; Ressom HW
    Methods Mol Biol; 2011; 694():139-50. PubMed ID: 21082433
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Aligning LC peaks by converting gradient retention times to retention index of peptides in proteomic experiments.
    Shinoda K; Tomita M; Ishihama Y
    Bioinformatics; 2008 Jul; 24(14):1590-5. PubMed ID: 18492686
    [TBL] [Abstract][Full Text] [Related]  

  • 8. MS-BID: a Java package for label-free LC-MS-based comparative proteomic analysis.
    Hwang D; Zhang N; Lee H; Yi E; Zhang H; Lee IY; Hood L; Aebersold R
    Bioinformatics; 2008 Nov; 24(22):2641-2. PubMed ID: 18805798
    [TBL] [Abstract][Full Text] [Related]  

  • 9. MultiAlign: a multiple LC-MS analysis tool for targeted omics analysis.
    LaMarche BL; Crowell KL; Jaitly N; Petyuk VA; Shah AR; Polpitiya AD; Sandoval JD; Kiebel GR; Monroe ME; Callister SJ; Metz TO; Anderson GA; Smith RD
    BMC Bioinformatics; 2013 Feb; 14():49. PubMed ID: 23398735
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Tear proteomic analysis of patients with type 2 diabetes and dry eye syndrome by two-dimensional nano-liquid chromatography coupled with tandem mass spectrometry.
    Li B; Sheng M; Xie L; Liu F; Yan G; Wang W; Lin A; Zhao F; Chen Y
    Invest Ophthalmol Vis Sci; 2014 Jan; 55(1):177-86. PubMed ID: 24282230
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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; 12(4):1628-44. PubMed ID: 23391308
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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; 25(7):960-8. PubMed ID: 21416533
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Proteomic analysis of tears following acupuncture treatment for menopausal dry eye disease by two-dimensional nano-liquid chromatography coupled with tandem mass spectrometry.
    Liu Q; Liu J; Ren C; Cai W; Wei Q; Song Y; Yu J
    Int J Nanomedicine; 2017; 12():1663-1671. PubMed ID: 28280333
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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; 18(4):547-57. PubMed ID: 21417940
    [TBL] [Abstract][Full Text] [Related]  

  • 15. PeakLink: a new peptide peak linking method in LC-MS/MS using wavelet and SVM.
    Ghanat Bari M; Ma X; Zhang J
    Bioinformatics; 2014 Sep; 30(17):2464-70. PubMed ID: 24813213
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A novel alignment method and multiple filters for exclusion of unqualified peptides to enhance label-free quantification using peptide intensity in LC-MS/MS.
    Lai X; Wang L; Tang H; Witzmann FA
    J Proteome Res; 2011 Oct; 10(10):4799-812. PubMed ID: 21888428
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Experimental design and data-analysis in label-free quantitative LC/MS proteomics: A tutorial with MSqRob.
    Goeminne LJE; Gevaert K; Clement L
    J Proteomics; 2018 Jan; 171():23-36. PubMed ID: 28391044
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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; 29(19):1841-8. PubMed ID: 26331936
    [TBL] [Abstract][Full Text] [Related]  

  • 19. DISMS2: A flexible algorithm for direct proteome- wide distance calculation of LC-MS/MS runs.
    Rieder V; Blank-Landeshammer B; Stuhr M; Schell T; Biß K; Kollipara L; Meyer A; Pfenninger M; Westphal H; Sickmann A; Rahnenführer J
    BMC Bioinformatics; 2017 Mar; 18(1):148. PubMed ID: 28253837
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Design and analysis of quantitative differential proteomics investigations using LC-MS technology.
    Bukhman YV; Dharsee M; Ewing R; Chu P; Topaloglou T; Le Bihan T; Goh T; Duewel H; Stewart II; Wisniewski JR; Ng NF
    J Bioinform Comput Biol; 2008 Feb; 6(1):107-23. PubMed ID: 18324749
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.