220 related articles for article (PubMed ID: 18805798)
1. 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]
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. 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]
4. Computational methods for the comparative quantification of proteins in label-free LCn-MS experiments.
Wong JW; Sullivan MJ; Cagney G
Brief Bioinform; 2008 Mar; 9(2):156-65. PubMed ID: 17905794
[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. 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]
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. Prequips--an extensible software platform for integration, visualization and analysis of LC-MS/MS proteomics data.
Gehlenborg N; Yan W; Lee IY; Yoo H; Nieselt K; Hwang D; Aebersold R; Hood L
Bioinformatics; 2009 Mar; 25(5):682-3. PubMed ID: 19129212
[TBL] [Abstract][Full Text] [Related]
9. OpenMS and TOPP: open source software for LC-MS data analysis.
Reinert K; Kohlbacher O
Methods Mol Biol; 2010; 604():201-11. PubMed ID: 20013373
[TBL] [Abstract][Full Text] [Related]
10. A suite of algorithms for the comprehensive analysis of complex protein mixtures using high-resolution LC-MS.
Bellew M; Coram M; Fitzgibbon M; Igra M; Randolph T; Wang P; May D; Eng J; Fang R; Lin C; Chen J; Goodlett D; Whiteaker J; Paulovich A; McIntosh M
Bioinformatics; 2006 Aug; 22(15):1902-9. PubMed ID: 16766559
[TBL] [Abstract][Full Text] [Related]
11. JAMSS: proteomics mass spectrometry simulation in Java.
Smith R; Prince JT
Bioinformatics; 2015 Mar; 31(5):791-3. PubMed ID: 25371478
[TBL] [Abstract][Full Text] [Related]
12. SuperHirn - a novel tool for high resolution LC-MS-based peptide/protein profiling.
Mueller LN; Rinner O; Schmidt A; Letarte S; Bodenmiller B; Brusniak MY; Vitek O; Aebersold R; Müller M
Proteomics; 2007 Oct; 7(19):3470-80. PubMed ID: 17726677
[TBL] [Abstract][Full Text] [Related]
13. VIPER: an advanced software package to support high-throughput LC-MS peptide identification.
Monroe ME; Tolić N; Jaitly N; Shaw JL; Adkins JN; Smith RD
Bioinformatics; 2007 Aug; 23(15):2021-3. PubMed ID: 17545182
[TBL] [Abstract][Full Text] [Related]
14. A label-free nano-liquid chromatography-mass spectrometry approach for quantitative serum peptidomics in Crohn's disease patients.
Nanni P; Levander F; Roda G; Caponi A; James P; Roda A
J Chromatogr B Analyt Technol Biomed Life Sci; 2009 Oct; 877(27):3127-36. PubMed ID: 19683480
[TBL] [Abstract][Full Text] [Related]
15. Installation and use of LabKey Server for proteomics.
Eckels J; Hussey P; Nelson EK; Myers T; Rauch A; Bellew M; Connolly B; Law W; Eng JK; Katz J; McIntosh M; Mallick P; Igra M
Curr Protoc Bioinformatics; 2011 Dec; Chapter 13():13.5.1-13.5.25. PubMed ID: 22161569
[TBL] [Abstract][Full Text] [Related]
16. Integration of two-dimensional LC-MS with multivariate statistics for comparative analysis of proteomic samples.
Gaspari M; Verhoeckx KC; Verheij ER; van der Greef J
Anal Chem; 2006 Apr; 78(7):2286-96. PubMed ID: 16579610
[TBL] [Abstract][Full Text] [Related]
17. An overview of label-free quantitation methods in proteomics by mass spectrometry.
Wong JW; Cagney G
Methods Mol Biol; 2010; 604():273-83. PubMed ID: 20013377
[TBL] [Abstract][Full Text] [Related]
18. Preprocessing and Analysis of LC-MS-Based Proteomic Data.
Tsai TH; Wang M; Ressom HW
Methods Mol Biol; 2016; 1362():63-76. PubMed ID: 26519169
[TBL] [Abstract][Full Text] [Related]
19. APP: an Automated Proteomics Pipeline for the analysis of mass spectrometry data based on multiple open access tools.
Malm EK; Srivastava V; Sundqvist G; Bulone V
BMC Bioinformatics; 2014 Dec; 15(1):441. PubMed ID: 25547515
[TBL] [Abstract][Full Text] [Related]
20. CLUE-TIPS, clustering methods for pattern analysis of LC-MS data.
Akella LM; Rejtar T; Orazine C; Hincapie M; Hancock WS
J Proteome Res; 2009 Oct; 8(10):4732-42. PubMed ID: 19725534
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]