Maui-VIA: a user-friendly software for visual identification, alignment, correction, and quantification of gas chromatography–mass spectrometry data

Henning P, Kuich JL, Hoffmann N, Stefan K (2015)
Frontiers in Bioengineering and Biotechnology 2(84).

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Zeitschriftenaufsatz | Veröffentlicht | Englisch
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Frontiers in Bioengineering and Biotechnology
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84
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Henning P, Kuich JL, Hoffmann N, Stefan K. Maui-VIA: a user-friendly software for visual identification, alignment, correction, and quantification of gas chromatography–mass spectrometry data. Frontiers in Bioengineering and Biotechnology. 2015;2(84).
Henning, P., Kuich, J. L., Hoffmann, N., & Stefan, K. (2015). Maui-VIA: a user-friendly software for visual identification, alignment, correction, and quantification of gas chromatography–mass spectrometry data. Frontiers in Bioengineering and Biotechnology, 2(84). doi:10.3389/fbioe.2014.00084
Henning, P., Kuich, J. L., Hoffmann, N., and Stefan, K. (2015). Maui-VIA: a user-friendly software for visual identification, alignment, correction, and quantification of gas chromatography–mass spectrometry data. Frontiers in Bioengineering and Biotechnology 2.
Henning, P., et al., 2015. Maui-VIA: a user-friendly software for visual identification, alignment, correction, and quantification of gas chromatography–mass spectrometry data. Frontiers in Bioengineering and Biotechnology, 2(84).
P. Henning, et al., “Maui-VIA: a user-friendly software for visual identification, alignment, correction, and quantification of gas chromatography–mass spectrometry data”, Frontiers in Bioengineering and Biotechnology, vol. 2, 2015.
Henning, P., Kuich, J.L., Hoffmann, N., Stefan, K.: Maui-VIA: a user-friendly software for visual identification, alignment, correction, and quantification of gas chromatography–mass spectrometry data. Frontiers in Bioengineering and Biotechnology. 2, (2015).
Henning, Peter, Kuich, Julius Lloyd, Hoffmann, Nils, and Stefan, Kempa. “Maui-VIA: a user-friendly software for visual identification, alignment, correction, and quantification of gas chromatography–mass spectrometry data”. Frontiers in Bioengineering and Biotechnology 2.84 (2015).

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PMID: 28428423
The B-cell receptor controls fitness of MYC-driven lymphoma cells via GSK3β inhibition.
Varano G, Raffel S, Sormani M, Zanardi F, Lonardi S, Zasada C, Perucho L, Petrocelli V, Haake A, Lee AK, Bugatti M, Paul U, Van Anken E, Pasqualucci L, Rabadan R, Siebert R, Kempa S, Ponzoni M, Facchetti F, Rajewsky K, Casola S., Nature 546(7657), 2017
PMID: 28562582
Salt-responsive gut commensal modulates TH17 axis and disease.
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PMID: 29143823
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PMID: 26464019

20 References

Daten bereitgestellt von Europe PubMed Central.

Controlling the false discovery rate: a practical and powerful approach to multiple testing
Benjamini Y., Hochberg Y.., 1995
Advances in mass spectrometry for lipidomics.
Blanksby SJ, Mitchell TW., Annu Rev Anal Chem (Palo Alto Calif) 3(), 2010
PMID: 20636050
Systems level studies of mammalian metabolomes: the roles of mass spectrometry and nuclear magnetic resonance spectroscopy.
Dunn WB, Broadhurst DI, Atherton HJ, Goodacre R, Griffin JL., Chem Soc Rev 40(1), 2011
PMID: 20717559
Combining peak- and chromatogram-based retention time alignment algorithms for multiple chromatography-mass spectrometry datasets.
Hoffmann N, Keck M, Neuweger H, Wilhelm M, Hogy P, Niehaus K, Stoye J., BMC Bioinformatics 13(), 2012
PMID: 22920415
BiPACE 2D--graph-based multiple alignment for comprehensive 2D gas chromatography-mass spectrometry.
Hoffmann N, Wilhelm M, Doebbe A, Niehaus K, Stoye J., Bioinformatics 30(7), 2014
PMID: 24363380
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
Gas-chromatographische Charakterisierung organischer Verbindungen. Teil 1: Retentionsindices aliphatischer Halogenide, Alkohole, Aldehyde und Ketone
Kovats E.., 1958
Gas chromatography mass spectrometry-based metabolite profiling in plants.
Lisec J, Schauer N, Kopka J, Willmitzer L, Fernie AR., Nat Protoc 1(1), 2006
PMID: 17406261
mzML--a community standard for mass spectrometry data.
Martens L, Chambers M, Sturm M, Kessner D, Levander F, Shofstahl J, Tang WH, Rompp A, Neumann S, Pizarro AD, Montecchi-Palazzi L, Tasman N, Coleman M, Reisinger F, Souda P, Hermjakob H, Binz PA, Deutsch EW., Mol. Cell Proteomics 10(1), 2011
PMID: 20716697
Proteome dynamics and early salt stress response of the photosynthetic organism Chlamydomonas reinhardtii.
Mastrobuoni G, Irgang S, Pietzke M, Assmus HE, Wenzel M, Schulze WX, Kempa S., BMC Genomics 13(), 2012
PMID: 22651860
MZmine 2: modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data.
Pluskal T, Castillo S, Villar-Briones A, Oresic M., BMC Bioinformatics 11(), 2010
PMID: 20650010
Retention index thresholds for compound matching in GC-MS metabolite profiling.
Strehmel N, Hummel J, Erban A, Strassburg K, Kopka J., J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 871(2), 2008
PMID: 18501684
Plant metabolomics: large-scale phytochemistry in the functional genomics era.
Sumner LW, Mendes P, Dixon RA., Phytochemistry 62(6), 2003
PMID: 12590110
Modern analytical techniques in metabolomics analysis.
Zhang A, Sun H, Wang P, Han Y, Wang X., Analyst 137(2), 2012
PMID: 22102985

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