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Items: 1 to 20 of 179

1.

LC-MS data analysis for differential protein expression detection.

Varghese RS, Ressom HW.

Methods Mol Biol. 2011;694:139-50. doi: 10.1007/978-1-60761-977-2_10.

PMID:
21082433
2.

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 9;1218(49):8859-68. doi: 10.1016/j.chroma.2011.06.062. Epub 2011 Jun 22.

PMID:
21783198
3.

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 15;80(4):1487-95. doi: 10.1016/j.talanta.2009.07.035. Epub 2009 Jul 25.

PMID:
20082806
4.

LC/MS data processing for label-free quantitative analysis.

Palagi PM, Müller M, Walther D, Lisacek F.

Methods Mol Biol. 2011;696:369-77. doi: 10.1007/978-1-60761-987-1_24.

PMID:
21063961
5.

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. doi: 10.1021/pr900427q.

PMID:
19725534
6.

Robust algorithm for alignment of liquid chromatography-mass spectrometry analyses in an accurate mass and time tag data analysis pipeline.

Jaitly N, Monroe ME, Petyuk VA, Clauss TR, Adkins JN, Smith RD.

Anal Chem. 2006 Nov 1;78(21):7397-409.

PMID:
17073405
7.
8.

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 5;9(3):1483-95. doi: 10.1021/pr9010124.

PMID:
20070124
9.

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 Sep-Oct;1(5):459-65.

PMID:
12645918
11.

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.

PMID:
18324749
12.

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 1;78(7):2286-96.

PMID:
16579610
13.

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.

PMID:
17726677
15.
16.

A statistical method for chromatographic alignment of LC-MS data.

Wang P, Tang H, Fitzgibbon MP, McIntosh M, Coram M, Zhang H, Yi E, Aebersold R.

Biostatistics. 2007 Apr;8(2):357-67. Epub 2006 Jul 31.

PMID:
16880200
17.

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. Epub 2007 Sep 28. Review.

PMID:
17905794
18.

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. doi: 10.1155/2010/131505. Epub 2010 Jan 28.

20.

A software suite for the generation and comparison of peptide arrays from sets of data collected by liquid chromatography-mass spectrometry.

Li XJ, Yi EC, Kemp CJ, Zhang H, Aebersold R.

Mol Cell Proteomics. 2005 Sep;4(9):1328-40. Epub 2005 Jul 26.

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