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

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

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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DOI
Autor*in
Hoffmann, NilsUniBi ; Stoye, JensUniBi
Einrichtung
Centrum für Biotechnologie > Institut für Bioinformatik
Centrum für Biotechnologie > Arbeitsgruppe J. Stoye
Technische Fakultät > AG Genominformatik
Erscheinungsjahr
2009
Zeitschriftentitel
Bioinformatics
Band
25
Ausgabe
16
Seite(n)
2080-2081
ISSN
1367-4803
eISSN
1460-2059
Page URI
https://pub.uni-bielefeld.de/record/1591319

Zitieren

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. https://doi.org/10.1093/bioinformatics/btp343
Hoffmann, Nils, and Stoye, Jens. 2009. “ChromA: signal-based retention time alignment for chromatography-mass spectrometry data”. Bioinformatics 25 (16): 2080-2081.
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
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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
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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
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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
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Kessler N, Neuweger H, Bonte A, Langenkämper G, Niehaus K, Nattkemper TW, Goesmann A., Bioinformatics 29(19), 2013
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GCALIGNER 1.0: an alignment program to compute a multiple sample comparison data matrix from large eco-chemical datasets obtained by GC.
Dellicour S, Lecocq T., J Sep Sci 36(19), 2013
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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
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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
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Dromms RA, Styczynski MP., Metabolites 2(4), 2012
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Chromaligner: a web server for chromatogram alignment.
Wang SY, Ho TJ, Kuo CH, Tseng YJ., Bioinformatics 26(18), 2010
PMID: 20576623

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