175 related articles for article (PubMed ID: 19154406)
1. Large-scale quantitative clinical proteomics by label-free liquid chromatography and mass spectrometry.
Negishi A; Ono M; Handa Y; Kato H; Yamashita K; Honda K; Shitashige M; Satow R; Sakuma T; Kuwabara H; Omura K; Hirohashi S; Yamada T
Cancer Sci; 2009 Mar; 100(3):514-9. PubMed ID: 19154406
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Label-free quantitative proteomics using large peptide data sets generated by nanoflow liquid chromatography and mass spectrometry.
Ono M; Shitashige M; Honda K; Isobe T; Kuwabara H; Matsuzuki H; Hirohashi S; Yamada T
Mol Cell Proteomics; 2006 Jul; 5(7):1338-47. PubMed ID: 16552026
[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. Graph-based peak alignment algorithms for multiple liquid chromatography-mass spectrometry datasets.
Wang J; Lam H
Bioinformatics; 2013 Oct; 29(19):2469-76. PubMed ID: 23904508
[TBL] [Abstract][Full Text] [Related]
6. MaxQuant Software for Ion Mobility Enhanced Shotgun Proteomics.
Prianichnikov N; Koch H; Koch S; Lubeck M; Heilig R; Brehmer S; Fischer R; Cox J
Mol Cell Proteomics; 2020 Jun; 19(6):1058-1069. PubMed ID: 32156793
[TBL] [Abstract][Full Text] [Related]
7. Clinical proteomics: liquid chromatography-mass spectrometry purification systems.
Henry M; Meleady P
Methods Mol Biol; 2011; 681():473-83. PubMed ID: 20978984
[TBL] [Abstract][Full Text] [Related]
8. Incorporating peak grouping information for alignment of multiple liquid chromatography-mass spectrometry datasets.
Wandy J; Daly R; Breitling R; Rogers S
Bioinformatics; 2015 Jun; 31(12):1999-2006. PubMed ID: 25649621
[TBL] [Abstract][Full Text] [Related]
9. Inversion of peak elution order prevents uniform time alignment of complex liquid-chromatography coupled to mass spectrometry datasets.
Mitra V; Smilde A; Hoefsloot H; Suits F; Bischoff R; Horvatovich P
J Chromatogr A; 2014 Dec; 1373():61-72. PubMed ID: 25482036
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Time alignment algorithms based on selected mass traces for complex LC-MS data.
Christin C; Hoefsloot HC; Smilde AK; Suits F; Bischoff R; Horvatovich PL
J Proteome Res; 2010 Mar; 9(3):1483-95. PubMed ID: 20070124
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. A novel mass spectrometry cluster for high-throughput quantitative proteomics.
Palmblad M; van der Burgt YE; Mostovenko E; Dalebout H; Deelder AM
J Am Soc Mass Spectrom; 2010 Jun; 21(6):1002-11. PubMed ID: 20194034
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Label-free quantitative analysis of one-dimensional PAGE LC/MS/MS proteome: application on angiotensin II-stimulated smooth muscle cells secretome.
Gao BB; Stuart L; Feener EP
Mol Cell Proteomics; 2008 Dec; 7(12):2399-409. PubMed ID: 18676994
[TBL] [Abstract][Full Text] [Related]
16. Informatics platform for global proteomic profiling and biomarker discovery using liquid chromatography-tandem mass spectrometry.
Radulovic D; Jelveh S; Ryu S; Hamilton TG; Foss E; Mao Y; Emili A
Mol Cell Proteomics; 2004 Oct; 3(10):984-97. PubMed ID: 15269249
[TBL] [Abstract][Full Text] [Related]
17. Targeted proteomics of low-level proteins in human plasma by LC/MSn: using human growth hormone as a model system.
Wu SL; Amato H; Biringer R; Choudhary G; Shieh P; Hancock WS
J Proteome Res; 2002; 1(5):459-65. PubMed ID: 12645918
[TBL] [Abstract][Full Text] [Related]
18. Isotope coded protein label quantification of serum proteins--comparison with the label-free LC-MS and validation using the MRM approach.
Turtoi A; Mazzucchelli GD; De Pauw E
Talanta; 2010 Feb; 80(4):1487-95. PubMed ID: 20082806
[TBL] [Abstract][Full Text] [Related]
19. Semi-supervised LC/MS alignment for differential proteomics.
Fischer B; Grossmann J; Roth V; Gruissem W; Baginsky S; Buhmann JM
Bioinformatics; 2006 Jul; 22(14):e132-40. PubMed ID: 16873463
[TBL] [Abstract][Full Text] [Related]
20. Large-scale multiplexed quantitative discovery proteomics enabled by the use of an (18)O-labeled "universal" reference sample.
Qian WJ; Liu T; Petyuk VA; Gritsenko MA; Petritis BO; Polpitiya AD; Kaushal A; Xiao W; Finnerty CC; Jeschke MG; Jaitly N; Monroe ME; Moore RJ; Moldawer LL; Davis RW; Tompkins RG; Herndon DN; Camp DG; Smith RD;
J Proteome Res; 2009 Jan; 8(1):290-9. PubMed ID: 19053531
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]