Identification and evaluation of cycling yeast metabolites in two-dimensional comprehensive gas chromatography-time-of-flight-mass spectrometry data. - Wikidata - awgldk - TriplyDB

Identification and evaluation of cycling yeast metabolites in two-dimensional comprehensive gas chromatography-time-of-flight-mass spectrometry data.

Identification and evaluation of cycling yeast metabolites in two-dimensional comprehensive gas chromatography-time-of-flight-mass spectrometry data.

http://www.wikidata.org/entity/Q31136222

about

Suppression of statin effectiveness by copper and zinc in yeast and human cells DISCO: distance and spectrum correlation optimization alignment for two-dimensional gas chromatography time-of-flight mass spectrometry-based metabolomics Semi-automated non-target processing in GC × GC-MS metabolomics analysis: applicability for biomedical studies.Application of comprehensive two-dimensional gas chromatography with time-of-flight mass spectrometry method to identify potential biomarkers of perinatal asphyxia in a non-human primate model Dependence of effective peak capacity in comprehensive two-dimensional separations on the distribution of peak capacity between the two dimensions.Serial plasma metabolites following hypoxic-ischemic encephalopathy in a nonhuman primate model.Time-dependent profiling of metabolites from Snf1 mutant and wild type yeast cells.The perinatal transition of the circulating metabolome in a nonhuman primate Toward a global analysis of metabolites in regulatory mutants of yeast Systems approaches for the study of metabolic cycles in yeast.Accelerating analysis for metabolomics, drugs and their metabolites in biological samples using multidimensional gas chromatography.Capillary separations in metabolomics.Chemometrics in comprehensive multidimensional separations.Quantitative metabolomics based on gas chromatography mass spectrometry: status and perspectives.Comprehensive two-dimensional gas chromatography in metabolomics.High resolution mass spectrometry based techniques at the crossroads of metabolic pathways.The molecular basis of metabolic cycles and their relationship to circadian rhythms.A new dimension in separation science: comprehensive two-dimensional gas chromatography.Sample preparation methodology for mouse heart metabolomics using comprehensive two-dimensional gas chromatography coupled with time-of-flight mass spectrometry.Development and application of a comprehensive two-dimensional gas chromatography with time-of-flight mass spectrometry method for the analysis of L-beta-methylamino-alanine in human tissue.High-throughput profiling of amino acids in strains of the Saccharomyces cerevisiae deletion collection.

P2860

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P2860

Identification and evaluation of cycling yeast metabolites in two-dimensional comprehensive gas chromatography-time-of-flight-mass spectrometry data.

http://www.wikidata.org/entity/Q31136222

description

2007 nî lūn-bûn

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2007 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած

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2007 թվականի հոտեմբերին հրատարակված գիտական հոդված

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2007年の論文

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2007年論文

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2007年論文

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2007年論文

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2007年論文

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2007年論文

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2007年论文

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name

Identification and evaluation ...... flight-mass spectrometry data.

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Identification and evaluation ...... flight-mass spectrometry data.

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Identification and evaluation ...... flight-mass spectrometry data.

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Identification and evaluation ...... flight-mass spectrometry data.

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Identification and evaluation ...... flight-mass spectrometry data.

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Identification and evaluation ...... flight-mass spectrometry data.

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Journal of Chromatography A

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Identification and evaluation ...... flight-mass spectrometry data.

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P2093

Benjamin P Tu

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Elton T Young

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Jamin C Hoggard

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Kenneth M Dombek

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Rachel E Mohler

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Robert E Synovec

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P2860

Genome-scale reconstruction of the Saccharomyces cerevisiae metabolic network

Here is the evidence, now what is the hypothesis? The complementary roles of inductive and hypothesis-driven science in the post-genomic era

High-speed peak matching algorithm for retention time alignment of gas chromatographic data for chemometric analysis.

Metabolomics by numbers: acquiring and understanding global metabolite data.

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.

High-throughput data analysis for detecting and identifying differences between samples in GC/MS-based metabolomic analyses.

A novel approach for nontargeted data analysis for metabolomics. Large-scale profiling of tomato fruit volatiles.

Centering, scaling, and transformations: improving the biological information content of metabolomics data.

Fisher ratio method applied to third-order separation data to identify significant chemical components of metabolite extracts.

Parallel factor analysis (PARAFAC) of target analytes in GC x GC-TOFMS data: automated selection of a model with an appropriate number of factors.

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