Hierarchical metabolomics demonstrates substantial compositional similarity between genetically modified and conventional potato crops - Wikidata - awgldk - TriplyDB

Hierarchical metabolomics demonstrates substantial compositional similarity between genetically modified and conventional potato crops

Hierarchical metabolomics demonstrates substantial compositional similarity between genetically modified and conventional potato crops

http://www.wikidata.org/entity/Q34063497

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Evaluation of genetically engineered crops using transcriptomic, proteomic, and metabolomic profiling techniques Metabolomics: A Tool Ahead for Understanding Molecular Mechanisms of Drugs and Diseases Covering chemical diversity of genetically-modified tomatoes using metabolomics for objective substantial equivalence assessment Mass spectrometry in plant metabolomics strategies: from analytical platforms to data acquisition and processing.Plant metabolomics: from holistic hope, to hype, to hot topic.Identification of biomarkers for genotyping Aspergilli using non-linear methods for clustering and classification Critical assessment of alignment procedures for LC-MS proteomics and metabolomics measurements.A signal filtering method for improved quantification and noise discrimination in fourier transform ion cyclotron resonance mass spectrometry-based metabolomics data.Rhizosphere communities of genetically modified zeaxanthin-accumulating potato plants and their parent cultivar differ less than those of different potato cultivars Metabolite signal identification in accurate mass metabolomics data with MZedDB, an interactive m/z annotation tool utilising predicted ionisation behaviour 'rules'.Phenolic compounds in ectomycorrhizal interaction of lignin modified silver birch Crossfit analysis: a novel method to characterize the dynamics of induced plant responses Transcriptome analysis reveals absence of unintended effects in drought-tolerant transgenic plants overexpressing the transcription factor ABF3 Inter-laboratory reproducibility of fast gas chromatography-electron impact-time of flight mass spectrometry (GC-EI-TOF/MS) based plant metabolomics.Transcriptome and metabolome profiling of field-grown transgenic barley lack induced differences but show cultivar-specific variances MeRy-B: a web knowledgebase for the storage, visualization, analysis and annotation of plant NMR metabolomic profiles.Metabolomics of genetically modified crops.Nutritionally improved agricultural crops.Predicting interpretability of metabolome models based on behavior, putative identity, and biological relevance of explanatory signals Comparison of the physiological characteristics of transgenic insect-resistant cotton and conventional lines.Assessment of pleiotropic transcriptome perturbations in Arabidopsis engineered for indirect insect defence.Enabling nutrient security and sustainability through systems research Recent advances of metabolomics in plant biotechnology.A Comparison of transgenic and wild type soybean seeds: analysis of transcriptome profiles using RNA-Seq.From models to crop species: caveats and solutions for translational metabolomics.Urine metabolomics analysis for biomarker discovery and detection of jaundice syndrome in patients with liver disease Proteomic evaluation of genetically modified crops: current status and challenges.Extending the breadth of metabolite profiling by gas chromatography coupled to mass spectrometry.Recent progress in the development of metabolome databases for plant systems biology.Ectopic expression of amaranth seed storage albumin modulates photoassimilate transport and nutrient acquisition in sweetpotato.Using metabolomics to estimate unintended effects in transgenic crop plants: problems, promises, and opportunities Metabolite profiling of human colon carcinoma--deregulation of TCA cycle and amino acid turnover Metabolomic technologies and their application to the study of plants and plant-host interactions.Plant metabolomics and its potential application for human nutrition.Looking into the future of foods and health Measurement of dietary exposure: a challenging problem which may be overcome thanks to metabolomics?Network-based biomarkers for cold coagulation blood stasis syndrome and the therapeutic effects of shaofu zhuyu decoction in rats.Temporally resolved GC-MS-based metabolic profiling of herbicide treated plants treated reveals that changes in polar primary metabolites alone can distinguish herbicides of differing mode of action.Correlative and quantitative 1H NMR-based metabolomics reveals specific metabolic pathway disturbances in diabetic rats.Fructan and its relationship to abiotic stress tolerance in plants.

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Hierarchical metabolomics demonstrates substantial compositional similarity between genetically modified and conventional potato crops

http://www.wikidata.org/entity/Q34063497

description

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2005 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած

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Hierarchical metabolomics demo ...... and conventional potato crops

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Hierarchical metabolomics demo ...... and conventional potato crops

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Hierarchical metabolomics demo ...... and conventional potato crops

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Hierarchical metabolomics demo ...... and conventional potato crops

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Hierarchical metabolomics demo ...... and conventional potato crops

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Hierarchical metabolomics demo ...... and conventional potato crops

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Hierarchical metabolomics demo ...... and conventional potato crops

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Hierarchical metabolomics demo ...... and conventional potato crops

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Hierarchical metabolomics demo ...... and conventional potato crops

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Hierarchical metabolomics demo ...... and conventional potato crops

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Britta Zywicki

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Note on the sampling error of the difference between correlated proportions or percentages

High-resolution metabolic phenotyping of genetically and environmentally diverse potato tuber systems. Identification of phenocopies

Metabolite profiling for plant functional genomics

Metabolomics--the link between genotypes and phenotypes

Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data.

Analysis of highly polar compounds of plant origin: combination of hydrophilic interaction chromatography and electrospray ion trap mass spectrometry.

Genomic computing. Explanatory analysis of plant expression profiling data using machine learning.

Simultaneous determination of the main metabolites in rice leaves using capillary electrophoresis mass spectrometry and capillary electrophoresis diode array detection.

Nontargeted metabolome analysis by use of Fourier Transform Ion Cyclotron Mass Spectrometry.

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