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Results: 1 to 20 of 106

Related Citations for PubMed (Select 22607515)

1.

OmicsVis: an interactive tool for visually analyzing metabolomics data.

Livengood P, Maciejewski R, Chen W, Ebert DS.

BMC Bioinformatics. 2012;13 Suppl 8:S6. doi: 10.1186/1471-2105-13-S8-S6. Epub 2012 May 18.

2.

The MetabolomeExpress Project: enabling web-based processing, analysis and transparent dissemination of GC/MS metabolomics datasets.

Carroll AJ, Badger MR, Harvey Millar A.

BMC Bioinformatics. 2010 Jul 14;11:376. doi: 10.1186/1471-2105-11-376.

3.

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. doi: 10.1186/1471-2105-12-235.

4.

Practical non-targeted gas chromatography/mass spectrometry-based metabolomics platform for metabolic phenotype analysis.

Tsugawa H, Bamba T, Shinohara M, Nishiumi S, Yoshida M, Fukusaki E.

J Biosci Bioeng. 2011 Sep;112(3):292-8. doi: 10.1016/j.jbiosc.2011.05.001. Epub 2011 Jun 8.

PMID:
21641865
5.

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, Sjöström M, Antti H, Moritz T.

Anal Chem. 2005 Sep 1;77(17):5635-42.

PMID:
16131076
6.

metaMS: an open-source pipeline for GC-MS-based untargeted metabolomics.

Wehrens R, Weingart G, Mattivi F.

J Chromatogr B Analyt Technol Biomed Life Sci. 2014 Sep 1;966:109-16. doi: 10.1016/j.jchromb.2014.02.051. Epub 2014 Mar 12.

PMID:
24656939
7.

Metab: an R package for high-throughput analysis of metabolomics data generated by GC-MS.

Aggio R, Villas-Bôas SG, Ruggiero K.

Bioinformatics. 2011 Aug 15;27(16):2316-8. doi: 10.1093/bioinformatics/btr379. Epub 2011 Jun 22.

8.

A novel approach to transforming a non-targeted metabolic profiling method to a pseudo-targeted method using the retention time locking gas chromatography/mass spectrometry-selected ions monitoring.

Li Y, Ruan Q, Li Y, Ye G, Lu X, Lin X, Xu G.

J Chromatogr A. 2012 Sep 14;1255:228-36. doi: 10.1016/j.chroma.2012.01.076. Epub 2012 Feb 2.

PMID:
22342183
9.

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. 2012 May 30;13:115. doi: 10.1186/1471-2105-13-115.

10.

MetPP: a computational platform for comprehensive two-dimensional gas chromatography time-of-flight mass spectrometry-based metabolomics.

Wei X, Shi X, Koo I, Kim S, Schmidt RH, Arteel GE, Watson WH, McClain C, Zhang X.

Bioinformatics. 2013 Jul 15;29(14):1786-92. doi: 10.1093/bioinformatics/btt275. Epub 2013 May 11.

11.

Comparative evaluation of software for retention time alignment of gas chromatography/time-of-flight mass spectrometry-based metabonomic data.

Koh Y, Pasikanti KK, Yap CW, Chan EC.

J Chromatogr A. 2010 Dec 24;1217(52):8308-16. doi: 10.1016/j.chroma.2010.10.101. Epub 2010 Oct 31.

PMID:
21081237
12.

Comparative evaluation of preprocessing freeware on chromatography/mass spectrometry data for signature discovery.

Coble JB, Fraga CG.

J Chromatogr A. 2014 Sep 5;1358:155-64. doi: 10.1016/j.chroma.2014.06.100. Epub 2014 Jul 7.

PMID:
25063004
13.

Independent evaluation of a commercial deconvolution reporting software for gas chromatography mass spectrometry analysis of pesticide residues in fruits and vegetables.

Norli HR, Christiansen A, Holen B.

J Chromatogr A. 2010 Mar 26;1217(13):2056-64. doi: 10.1016/j.chroma.2010.01.022. Epub 2010 Feb 2.

PMID:
20172528
14.

Evaluation of automated sample preparation, retention time locked gas chromatography-mass spectrometry and data analysis methods for the metabolomic study of Arabidopsis species.

Gu Q, David F, Lynen F, Rumpel K, Dugardeyn J, Van Der Straeten D, Xu G, Sandra P.

J Chromatogr A. 2011 May 27;1218(21):3247-54. doi: 10.1016/j.chroma.2011.01.024. Epub 2011 Jan 18.

PMID:
21296359
15.

ADAP-GC 2.0: deconvolution of coeluting metabolites from GC/TOF-MS data for metabolomics studies.

Ni Y, Qiu Y, Jiang W, Suttlemyre K, Su M, Zhang W, Jia W, Du X.

Anal Chem. 2012 Aug 7;84(15):6619-29. doi: 10.1021/ac300898h. Epub 2012 Jul 12.

PMID:
22747237
17.

An automated data analysis pipeline for GC-TOF-MS metabonomics studies.

Jiang W, Qiu Y, Ni Y, Su M, Jia W, Du X.

J Proteome Res. 2010 Nov 5;9(11):5974-81. doi: 10.1021/pr1007703. Epub 2010 Sep 29.

PMID:
20825247
18.

Metabolomic study for diagnostic model of oesophageal cancer using gas chromatography/mass spectrometry.

Wu H, Xue R, Lu C, Deng C, Liu T, Zeng H, Wang Q, Shen X.

J Chromatogr B Analyt Technol Biomed Life Sci. 2009 Oct 1;877(27):3111-7. doi: 10.1016/j.jchromb.2009.07.039. Epub 2009 Aug 7.

PMID:
19716777
19.

TargetSearch--a Bioconductor package for the efficient preprocessing of GC-MS metabolite profiling data.

Cuadros-Inostroza A, Caldana C, Redestig H, Kusano M, Lisec J, Peña-Cortés H, Willmitzer L, Hannah MA.

BMC Bioinformatics. 2009 Dec 16;10:428. doi: 10.1186/1471-2105-10-428.

20.

A strategy for identifying differences in large series of metabolomic samples analyzed by GC/MS.

Jonsson P, Gullberg J, Nordström A, Kusano M, Kowalczyk M, Sjöström M, Moritz T.

Anal Chem. 2004 Mar 15;76(6):1738-45.

PMID:
15018577
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