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Journal Abstract Search
315 related items for PubMed ID: 22920415
1. Combining peak- and chromatogram-based retention time alignment algorithms for multiple chromatography-mass spectrometry datasets. Hoffmann N, Keck M, Neuweger H, Wilhelm M, Högy P, Niehaus K, Stoye J. BMC Bioinformatics; 2012 Aug 27; 13():214. PubMed ID: 22920415 [Abstract] [Full Text] [Related]
2. BiPACE 2D--graph-based multiple alignment for comprehensive 2D gas chromatography-mass spectrometry. Hoffmann N, Wilhelm M, Doebbe A, Niehaus K, Stoye J. Bioinformatics; 2014 Apr 01; 30(7):988-95. PubMed ID: 24363380 [Abstract] [Full Text] [Related]
3. 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 05; 9(3):1483-95. PubMed ID: 20070124 [Abstract] [Full Text] [Related]
4. Smith-Waterman peak alignment for comprehensive two-dimensional gas chromatography-mass spectrometry. Kim S, Koo I, Fang A, Zhang X. BMC Bioinformatics; 2011 Jun 15; 12():235. PubMed ID: 21676240 [Abstract] [Full Text] [Related]
5. QPMASS: A parallel peak alignment and quantification software for the analysis of large-scale gas chromatography-mass spectrometry (GC-MS)-based metabolomics datasets. Duan L, Ma A, Meng X, Shen GA, Qi X. J Chromatogr A; 2020 Jun 07; 1620():460999. PubMed ID: 32151418 [Abstract] [Full Text] [Related]
6. A dynamic programming approach for the alignment of signal peaks in multiple gas chromatography-mass spectrometry experiments. Robinson MD, De Souza DP, Keen WW, Saunders EC, McConville MJ, Speed TP, Likić VA. BMC Bioinformatics; 2007 Oct 29; 8():419. PubMed ID: 17963529 [Abstract] [Full Text] [Related]
7. Graph-based peak alignment algorithms for multiple liquid chromatography-mass spectrometry datasets. Wang J, Lam H. Bioinformatics; 2013 Oct 01; 29(19):2469-76. PubMed ID: 23904508 [Abstract] [Full Text] [Related]
8. G-Aligner: a graph-based feature alignment method for untargeted LC-MS-based metabolomics. Wang R, Lu M, An S, Wang J, Yu C. BMC Bioinformatics; 2023 Nov 14; 24(1):431. PubMed ID: 37964228 [Abstract] [Full Text] [Related]
9. Global peak alignment for comprehensive two-dimensional gas chromatography mass spectrometry using point matching algorithms. Deng B, Kim S, Li H, Heath E, Zhang X. J Bioinform Comput Biol; 2016 Dec 14; 14(6):1650032. PubMed ID: 27650662 [Abstract] [Full Text] [Related]
10. An optimal peak alignment for comprehensive two-dimensional gas chromatography mass spectrometry using mixture similarity measure. Kim S, Fang A, Wang B, Jeong J, Zhang X. Bioinformatics; 2011 Jun 15; 27(12):1660-6. PubMed ID: 21493650 [Abstract] [Full Text] [Related]
11. Retention time alignment of LC/MS data by a divide-and-conquer algorithm. Zhang Z. J Am Soc Mass Spectrom; 2012 Apr 15; 23(4):764-72. PubMed ID: 22298290 [Abstract] [Full Text] [Related]
12. Web Server for Peak Detection, Baseline Correction, and Alignment in Two-Dimensional Gas Chromatography Mass Spectrometry-Based Metabolomics Data. Tian TF, Wang SY, Kuo TC, Tan CE, Chen GY, Kuo CH, Chen CS, Chan CC, Lin OA, Tseng YJ. Anal Chem; 2016 Nov 01; 88(21):10395-10403. PubMed ID: 27673369 [Abstract] [Full Text] [Related]
13. 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 01; 18(4):547-57. PubMed ID: 21417940 [Abstract] [Full Text] [Related]
14. Comparative evaluation of preprocessing freeware on chromatography/mass spectrometry data for signature discovery. Coble JB, Fraga CG. J Chromatogr A; 2014 Sep 05; 1358():155-64. PubMed ID: 25063004 [Abstract] [Full Text] [Related]
15. Critical assessment of alignment procedures for LC-MS proteomics and metabolomics measurements. Lange E, Tautenhahn R, Neumann S, Gröpl C. BMC Bioinformatics; 2008 Sep 15; 9():375. PubMed ID: 18793413 [Abstract] [Full Text] [Related]
16. Coherent Point Drift Peak Alignment Algorithms Using Distance and Similarity Measures for Two-Dimensional Gas Chromatography Mass Spectrometry Data. Li Z, Kim S, Zhong S, Zhong Z, Kato I, Zhang X. J Chemom; 2020 Aug 15; 34(8):. PubMed ID: 33505107 [Abstract] [Full Text] [Related]
17. High-speed peak matching algorithm for retention time alignment of gas chromatographic data for chemometric analysis. Johnson KJ, Wright BW, Jarman KH, Synovec RE. J Chromatogr A; 2003 May 09; 996(1-2):141-55. PubMed ID: 12830915 [Abstract] [Full Text] [Related]
18. Incorporating peak grouping information for alignment of multiple liquid chromatography-mass spectrometry datasets. Wandy J, Daly R, Breitling R, Rogers S. Bioinformatics; 2015 Jun 15; 31(12):1999-2006. PubMed ID: 25649621 [Abstract] [Full Text] [Related]
19. MetTailor: dynamic block summary and intensity normalization for robust analysis of mass spectrometry data in metabolomics. Chen G, Cui L, Teo GS, Ong CN, Tan CS, Choi H. Bioinformatics; 2015 Nov 15; 31(22):3645-52. PubMed ID: 26220962 [Abstract] [Full Text] [Related]
20. An alignment algorithm for LC-MS-based metabolomics dataset assisted by MS/MS information. Li L, Ren W, Kong H, Zhao C, Zhao X, Lin X, Lu X, Xu G. Anal Chim Acta; 2017 Oct 16; 990():96-102. PubMed ID: 29029747 [Abstract] [Full Text] [Related] Page: [Next] [New Search]