TagFinder cho phân tích định lượng các thí nghiệm lập hồ sơ chất chuyển hóa dựa trên sắc ký khí-khối phổ (GC-MS)

America, 2006, Alignment and statistical difference analysis of complex peptide data sets generated by multidimensional liquid chromatography mass spectrometry, Proteomics, 6, 641, 10.1002/pmic.200500034

Ausloos, 1999, The critical evaluation of a comprehensive mass spectral library, J. Am. Soc. Mass Spectrom, 10, 287, 10.1016/S1044-0305(98)00159-7

Baran, 2006, MathDAMP: a package for differential analysis of metabolite profiles, BMC Bioinformatics, 7, 530, 10.1186/1471-2105-7-530

Bino, 2004, Potential of metabolomics as a functional genomics tool, Trends Plant Sci, 9, 418, 10.1016/j.tplants.2004.07.004

Bino, 2005, The light-hyperresponsive high pigment-2 mutation of tomato: alterations in the fruit metabolome, New Phytol, 166, 427, 10.1111/j.1469-8137.2005.01362.x

Birkemeyer, 2005, Metabolome analysis: the potential of in vivo labeling with stable isotopes for metabolite profiling, Trends Biotechnol, 23, 28, 10.1016/j.tibtech.2004.12.001

Broeckling, 2006, MET-IDEA: Data extraction tool for mass spectrometry-based metabolomics, Anal. Chem, 78, 4334, 10.1021/ac0521596

Bunk, 2006, MetaQuant: a tool for the automatic quantification of GC/MS-based metabolome data, Bioinformatics, 22, 2962, 10.1093/bioinformatics/btl526

Castle, 2006, Metabolomics Standards Workshop and the development of international standards for reporting metabolomics experimental results, Briefings Bioinformatics, 7, 159, 10.1093/bib/bbl008

Dalluge, 2002, Optimization and characterization of comprehensive two-dimensional gas chromatography with time-of-flight mass spectrometric detection (GC × GC-TOF MS), J. Sep. Sci, 25, 201, 10.1002/1615-9314(20020301)25:4<201::AID-JSSC201>3.0.CO;2-B

Dalluge, 2002, Comprehensive two-dimensional gas chromatograpy with time-of-flight mass spectrometric detection applied to the determination of pesticides in food extracts, J. Chromatogr. A, 965, 207, 10.1016/S0021-9673(01)01324-3

De Souza, 2006, Progressive peak clustering in GC-MS metabolomic experiments applied to Leishmania parasites, Bioinformatics, 22, 1391, 10.1093/bioinformatics/btl085

De Vos, 2007, Untargeted large-scale plant metabolomics using liquid chromatography coupled to mass spectrometry, Nature Protocols, 2, 778, 10.1038/nprot.2007.95

Duran, 2003, Metabolomics spectral formatting, alignment and conversion tools (MSFACTs), Bioinformatics, 19, 2283, 10.1093/bioinformatics/btg315

Fiehn, 2005, Automatic annotation of metabolomic mass spectra by integrating experimental metadata, Proc. Lect. Notes Bioinformatics, 3615, 224

Fiehn, 2006, Establishing reporting standards for metabolomic and metabonomic studies: a call for participation, Omics- J. Intergrat. Biol, 10, 158, 10.1089/omi.2006.10.158

Fiehn, 2007, The metabolomics standards initiative (MSI), Metabolomics, 3, 175, 10.1007/s11306-007-0070-6

Halket, 1999, Deconvolution gas chromatography mass spectrometry of urinary organic acids – potential for pattern recognition and automated identification of metabolic disorders, Rapid Commun. Mass Spectrom, 13, 279, 10.1002/(SICI)1097-0231(19990228)13:4<279::AID-RCM478>3.0.CO;2-I

Halket, 2005, Chemical derivatization and mass spectral libraries in metabolic profiling by GC/MS and LC/MS/MS, J. Exp. Bot, 56, 219, 10.1093/jxb/eri069

Huege, 2007, GC-EI-TOF-MS analysis of in vivo carbon-partitioning into soluble metabolite pools of higher plants by monitoring isotope dilution after (13CO2)-labelling, Phytochemistry, 68, 2258, 10.1016/j.phytochem.2007.03.026

Jenkins, 2004, A proposed framework for the description of plant metabolomics experiments and their results, Nat. Biotechnol, 22, 1601, 10.1038/nbt1041

Jonsson, 2004, A strategy for identifying differences in large series of metabolomic samples analysed by GC/MS, Anal. Chem, 76, 1738, 10.1021/ac0352427

Jonsson, 2005, High-throughput data analysis for detecting and identifying differences between samples in GC/MS-based metabolomic analyses, Anal. Chem, 77, 5635, 10.1021/ac050601e

Jonsson, 2006, Predictive metabolite profiling applying hierarchical multivariate curve resolution to GC-MS data – a potential tool for multi-parametric diagnosis, J. Proteome Res, 5, 1407, 10.1021/pr0600071

Keurentjes, 2006, The genetics of plant metabolism, Nat. Genetics, 38, 842, 10.1038/ng1815

Kopka, 2004, Metabolite profiling in plant biology: platforms and destinations, Genome Biol, 5, 109, 10.1186/gb-2004-5-6-109

Kopka, 2005, GMD@CSBDB: The Golm metabolome database, Bioinformatics, 21, 1635, 10.1093/bioinformatics/bti236

Kopka, 2006, Current challenges and developments in GC-MS based metabolite profiling technology, J. Biotechnol, 124, 312, 10.1016/j.jbiotec.2005.12.012

Kopka, 2006, Gas chromatography mass spectrometry, Biotechnology in agriculture and forestry Vol. 57: Saito,K, Dixon,RA, Willmitzer,L (eds) Plant metabolomics., 3

Lindon, 2005, The Consortium for Metabonomic Toxicology (COMET): aims, activities and achievements, Pharmacogenomics, 6, 691, 10.2217/14622416.6.7.691

Nicholson, 1999, ‘Metabonomics’: understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic data, Xenobiotica, 29, 1181, 10.1080/004982599238047

Nielsen, 2005, The next wave in metabolome analysis, Trends Biotechnol, 23, 544, 10.1016/j.tibtech.2005.08.005

Pool, 1996, Backfolding applied to differential gas chromatography/mass spectrometry as a mathematical enhancement of chromatographic Resolution, J. Mass Spectrom, 31, 509, 10.1002/(SICI)1096-9888(199605)31:5<509::AID-JMS323>3.0.CO;2-B

Pool, 1997, Automated extraction of pure mass spectra from gas chromatographic/mass spectrometric data, J. Mass Spectrom, 32, 438, 10.1002/(SICI)1096-9888(199704)32:4<438::AID-JMS499>3.0.CO;2-N

Pool, 1997, Automated processing of GC/MS data: quantification of the signals of individual components, J. Mass Spectrom, 32, 1253, 10.1002/(SICI)1096-9888(199711)32:11<1253::AID-JMS593>3.0.CO;2-T

Saeed, 2003, TM4: A free, open-source system for microarray data management and analysis, Biotechniques, 34, 374, 10.2144/03342mt01

Saeed, 2006, TM4 microarray software suite, Methods Enzymol, 411, 134, 10.1016/S0076-6879(06)11009-5

Schauer, 2005, GC-MS libraries for the rapid identification of metabolites in complex biological samples, FEBS Lett, 579, 1332, 10.1016/j.febslet.2005.01.029

Sinha, 2004, Algorithm for locating analytes of interest based on mass spectral similarity in GC x GC-TOF-MS data: analysis of metabolites in human infant urine, J. Chromatogr. A, 1058, 209, 10.1016/S0021-9673(04)01418-9

Smith, 2006, XCMS: Processing mass spectrometry data for metabolite profiling using Nonlinear peak alignment, matching, and identification, Anal. Chem, 78, 779, 10.1021/ac051437y

Spasić, 2006, MeMo: a hybrid SQL/XML approach to metabolomic data management for functional genomics, BMC Bioinformatics, 7, 281, 10.1186/1471-2105-7-281

Stein, 1999, An integrated method for spectrum extraction and compound identification from gas chromatography/mass spectrometry data, J. Am. Soc. Mass Spectrom, 10, 770, 10.1016/S1044-0305(99)00047-1

Stephanopoulos, 2004, Exploiting biological complexity for strain improvement through systems biology, Nat. Biotechnol, 22, 1261, 10.1038/nbt1016

Sumner, 2003, Plant metabolomics: large-scale phytochemistry in the functional genomics era, Phytochemistry, 62, 817, 10.1016/S0031-9422(02)00708-2

Sumner, 2007, Proposed minimum reporting standards for chemical analysis, Metabolomics, 3, 211, 10.1007/s11306-007-0082-2

Tikunov, 2005, A novel approach for non-targeted data analysis for metabolomics: large-scale profiling of tomato fruit volatiles, Plant. Physiol, 139, 1125, 10.1104/pp.105.068130

Trethewey, 1999, Metabolic profiling: a Rosetta stone for genomics?, Curr. Opin. Plant Biol, 2, 83, 10.1016/S1369-5266(99)80017-X

Van den Dool, 1963, A generalization of the retention index system including linear temperature programmed gas-liquid partition chromatography, J. Chromatogr, 11, 463, 10.1016/S0021-9673(01)80947-X

Vorst, 2005, A non-directed approach to the differential analysis of multiple LCMS derived metabolic profiles, Metabolomics, 1, 169, 10.1007/s11306-005-4432-7

Vreuls, 1999, Gas chromatography-time-of-flight mass spectrometry for sensitive determination of organic microcontaminants, J. Mircocolumn. Sep, 11, 663, 10.1002/(SICI)1520-667X(199911)11:9<663::AID-MCS4>3.0.CO;2-0

Wagner, 2003, Construction and application of a mass spectral and retention time index database generated from plant GC/EI-TOF-MS metabolite profiles, Phytochemistry, 62, 887, 10.1016/S0031-9422(02)00703-3