2670 related articles for article (PubMed ID: 24942700)
1. Accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ.
Cox J; Hein MY; Luber CA; Paron I; Nagaraj N; Mann M
Mol Cell Proteomics; 2014 Sep; 13(9):2513-26. PubMed ID: 24942700
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Accurate Label-Free Quantification by directLFQ to Compare Unlimited Numbers of Proteomes.
Ammar C; Schessner JP; Willems S; Michaelis AC; Mann M
Mol Cell Proteomics; 2023 Jul; 22(7):100581. PubMed ID: 37225017
[TBL] [Abstract][Full Text] [Related]
4. Comparative evaluation of label-free quantification strategies.
Zhao L; Cong X; Zhai L; Hu H; Xu JY; Zhao W; Zhu M; Tan M; Ye BC
J Proteomics; 2020 Mar; 215():103669. PubMed ID: 31987925
[TBL] [Abstract][Full Text] [Related]
5. IDEAL-Q, an automated tool for label-free quantitation analysis using an efficient peptide alignment approach and spectral data validation.
Tsou CC; Tsai CF; Tsui YH; Sudhir PR; Wang YT; Chen YJ; Chen JY; Sung TY; Hsu WL
Mol Cell Proteomics; 2010 Jan; 9(1):131-44. PubMed ID: 19752006
[TBL] [Abstract][Full Text] [Related]
6. Benchmarking quantitative label-free LC-MS data processing workflows using a complex spiked proteomic standard dataset.
Ramus C; Hovasse A; Marcellin M; Hesse AM; Mouton-Barbosa E; Bouyssié D; Vaca S; Carapito C; Chaoui K; Bruley C; Garin J; Cianférani S; Ferro M; Van Dorssaeler A; Burlet-Schiltz O; Schaeffer C; Couté Y; Gonzalez de Peredo A
J Proteomics; 2016 Jan; 132():51-62. PubMed ID: 26585461
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. 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]
10. MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification.
Cox J; Mann M
Nat Biotechnol; 2008 Dec; 26(12):1367-72. PubMed ID: 19029910
[TBL] [Abstract][Full Text] [Related]
11. In-depth evaluation of software tools for data-independent acquisition based label-free quantification.
Kuharev J; Navarro P; Distler U; Jahn O; Tenzer S
Proteomics; 2015 Sep; 15(18):3140-51. PubMed ID: 25545627
[TBL] [Abstract][Full Text] [Related]
12. A peptide-retrieval strategy enables significant improvement of quantitative performance without compromising confidence of identification.
Tu C; Shen S; Sheng Q; Shyr Y; Qu J
J Proteomics; 2017 Jan; 152():276-282. PubMed ID: 27903464
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. freeQuant: A Mass Spectrometry Label-Free Quantification Software Tool for Complex Proteome Analysis.
Deng N; Li Z; Pan C; Duan H
ScientificWorldJournal; 2015; 2015():137076. PubMed ID: 26665161
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. NSI and NSMT: usages of MS/MS fragment ion intensity for sensitive differential proteome detection and accurate protein fold change calculation in relative label-free proteome quantification.
Wu Q; Zhao Q; Liang Z; Qu Y; Zhang L; Zhang Y
Analyst; 2012 Jul; 137(13):3146-53. PubMed ID: 22582177
[TBL] [Abstract][Full Text] [Related]
17. A comparative analysis of computational approaches to relative protein quantification using peptide peak intensities in label-free LC-MS proteomics experiments.
Matzke MM; Brown JN; Gritsenko MA; Metz TO; Pounds JG; Rodland KD; Shukla AK; Smith RD; Waters KM; McDermott JE; Webb-Robertson BJ
Proteomics; 2013 Feb; 13(3-4):493-503. PubMed ID: 23019139
[TBL] [Abstract][Full Text] [Related]
18. DEqMS: A Method for Accurate Variance Estimation in Differential Protein Expression Analysis.
Zhu Y; Orre LM; Zhou Tran Y; Mermelekas G; Johansson HJ; Malyutina A; Anders S; Lehtiö J
Mol Cell Proteomics; 2020 Jun; 19(6):1047-1057. PubMed ID: 32205417
[TBL] [Abstract][Full Text] [Related]
19. MS-EmpiRe Utilizes Peptide-level Noise Distributions for Ultra-sensitive Detection of Differentially Expressed Proteins.
Ammar C; Gruber M; Csaba G; Zimmer R
Mol Cell Proteomics; 2019 Sep; 18(9):1880-1892. PubMed ID: 31235637
[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]
