ChromA: signal-based retention time alignment for chromatography-mass spectrometry data

Hoffmann N, Stoye J (2009)
Bioinformatics 25(16): 2080-2081.

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Hoffmann N, Stoye J. ChromA: signal-based retention time alignment for chromatography-mass spectrometry data. Bioinformatics. 2009;25(16):2080-2081.
Hoffmann, N., & Stoye, J. (2009). ChromA: signal-based retention time alignment for chromatography-mass spectrometry data. Bioinformatics, 25(16), 2080-2081. doi:10.1093/bioinformatics/btp343
Hoffmann, N., and Stoye, J. (2009). ChromA: signal-based retention time alignment for chromatography-mass spectrometry data. Bioinformatics 25, 2080-2081.
Hoffmann, N., & Stoye, J., 2009. ChromA: signal-based retention time alignment for chromatography-mass spectrometry data. Bioinformatics, 25(16), p 2080-2081.
N. Hoffmann and J. Stoye, “ChromA: signal-based retention time alignment for chromatography-mass spectrometry data”, Bioinformatics, vol. 25, 2009, pp. 2080-2081.
Hoffmann, N., Stoye, J.: ChromA: signal-based retention time alignment for chromatography-mass spectrometry data. Bioinformatics. 25, 2080-2081 (2009).
Hoffmann, Nils, and Stoye, Jens. “ChromA: signal-based retention time alignment for chromatography-mass spectrometry data”. Bioinformatics 25.16 (2009): 2080-2081.

13 Zitationen in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

Mass-spectra-based peak alignment for automatic nontargeted metabolic profiling analysis for biomarker screening in plant samples.
Fu HY, Hu O, Zhang YM, Zhang L, Song JJ, Lu P, Zheng QX, Liu PP, Chen QS, Wang B, Wang XY, Han L, Yu YJ., J Chromatogr A 1513(), 2017
PMID: 28755905
Unbiased profiling of volatile organic compounds in the headspace of Allium plants using an in-tube extraction device.
Kusano M, Kobayashi M, Iizuka Y, Fukushima A, Saito K., BMC Res Notes 9(), 2016
PMID: 26928722
Comprehensive analysis of LC/MS data using pseudocolor plots.
Crutchfield CA, Olson MT, Gourgari E, Nesterova M, Stratakis CA, Yergey AL., J Am Soc Mass Spectrom 24(2), 2013
PMID: 23283727
Feature based retention time alignment for improved HDX MS analysis.
Venable JD, Scuba W, Brock A., J Am Soc Mass Spectrom 24(4), 2013
PMID: 23430702
Nonlinear alignment of chromatograms by means of moving window fast Fourier transfrom cross-correlation.
Li Z, Wang JJ, Huang J, Zhang ZM, Lu HM, Zheng YB, Zhan DJ, Liang YZ., J Sep Sci 36(9-10), 2013
PMID: 23436496
MeltDB 2.0-advances of the metabolomics software system.
Kessler N, Neuweger H, Bonte A, Langenkämper G, Niehaus K, Nattkemper TW, Goesmann A., Bioinformatics 29(19), 2013
PMID: 23918246
Bioinformatics Tools for Mass Spectroscopy-Based Metabolomic Data Processing and Analysis.
Sugimoto M, Kawakami M, Robert M, Soga T, Tomita M., Curr Bioinform 7(1), 2012
PMID: 22438836
PyMS: a Python toolkit for processing of gas chromatography-mass spectrometry (GC-MS) data. Application and comparative study of selected tools.
O'Callaghan S, De Souza DP, Isaac A, Wang Q, Hodkinson L, Olshansky M, Erwin T, Appelbe B, Tull DL, Roessner U, Bacic A, McConville MJ, Likić VA., BMC Bioinformatics 13(), 2012
PMID: 22647087
An ultra-fast metabolite prediction algorithm.
Yang ZR, Grant M., PLoS One 7(6), 2012
PMID: 22745711
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 13(), 2012
PMID: 22920415
Systematic applications of metabolomics in metabolic engineering.
Dromms RA, Styczynski MP., Metabolites 2(4), 2012
PMID: 24957776
Chromaligner: a web server for chromatogram alignment.
Wang SY, Ho TJ, Kuo CH, Tseng YJ., Bioinformatics 26(18), 2010
PMID: 20576623

19 References

Daten bereitgestellt von Europe PubMed Central.

Untargeted large-scale plant metabolomics using liquid chromatography coupled to mass spectrometry
De RC., 2007

Gilbert D, Morgner T., 2009
Minimum prediction residual principle applied to speech recognition
Itakura F., 1975
High-throughput data analysis for detecting and identifying differences between samples in GC/MS-based metabolomic analyses.
Jonsson P, Johansson AI, Gullberg J, Trygg J, A J, Grung B, Marklund S, Sjostrom M, Antti H, Moritz T., Anal. Chem. 77(17), 2005
PMID: 16131076
Predictive metabolite profiling applying hierarchical multivariate curve resolution to GC-MS data--a potential tool for multi-parametric diagnosis.
Jonsson P, Johansson ES, Wuolikainen A, Lindberg J, Schuppe-Koistinen I, Kusano M, Sjostrom M, Trygg J, Moritz T, Antti H., J. Proteome Res. 5(6), 2006
PMID: 16739992
A framework for gene expression analysis.
Schreiber AW, Baumann U., Bioinformatics 23(2), 2006
PMID: 17118957
The symmetric time warping problem: from continuous to discrete Ch. 4
Kruskal JB, Liberman M., 0
ASTM protocols for analytical data interchange
Matthews L, Miller T., 2000
MeltDB: a software platform for the analysis and integration of metabolomics experiment data.
Neuweger H, Albaum SP, Dondrup M, Persicke M, Watt T, Niehaus K, Stoye J, Goesmann A., Bioinformatics 24(23), 2008
PMID: 18765459
A common open representation of mass spectrometry data and its application to proteomics research.
Pedrioli PG, Eng JK, Hubley R, Vogelzang M, Deutsch EW, Raught B, Pratt B, Nilsson E, Angeletti RH, Apweiler R, Cheung K, Costello CE, Hermjakob H, Huang S, Julian RK, Kapp E, McComb ME, Oliver SG, Omenn G, Paton NW, Simpson R, Smith R, Taylor CF, Zhu W, Aebersold R., Nat. Biotechnol. 22(11), 2004
PMID: 15529173
Characterization of normal human cells by pyrolysis gas chromatography mass spectrometry.
Reiner E, Abbey LE, Moran TF, Papamichalis P, Schafer RW., Biomed. Mass Spectrom. 6(11), 1979
PMID: 394768
NetCDF: an interface for scientific data access
Rew RK, Davis GP., 1990
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, Likic VA., BMC Bioinformatics 8(), 2007
PMID: 17963529
Dynamic programming algorithm optimization for spoken word recognition
Sakoe H, Chiba S., 1978
Retention index thresholds for compound matching in GC–MS metabolite profiling
Strehmel N., 2008
OpenMS - an open-source software framework for mass spectrometry.
Sturm M, Bertsch A, Gropl C, Hildebrandt A, Hussong R, Lange E, Pfeifer N, Schulz-Trieglaff O, Zerck A, Reinert K, Kohlbacher O., BMC Bioinformatics 9(), 2008
PMID: 18366760
Systematic identification of conserved metabolites in GC/MS data for metabolomics and biomarker discovery.
Styczynski MP, Moxley JF, Tong LV, Walther JL, Jensen KL, Stephanopoulos GN., Anal. Chem. 79(3), 2007
PMID: 17263323


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