A Multi-omic Approach to Reveal the Effect of Low-level Gamma Radiation on Rice Seeds
Aplikace | 2016 | Agilent TechnologiesInstrumentace
GC/MSD, GC/MS/MS, GC/HRMS, GC/Q-TOF, Software, LC/TOF, LC/HRMS, LC/MS, LC/MS/MS
ZaměřeníPotraviny a zemědělství, Metabolomika
VýrobceAgilent Technologies
Klíčová slovagenes, expression, gene, pathway, entities, rice, seeds, metabolism, radiation, fatty, soil, acid, analysis, correlation, metabolites, biosynthesis, agilent, pathways, omic, radionuclide, contaminated, omics, genespring, using, were, gamma, multi, phenylpropanoid, down, metabolite, tof, radiated, fiehn, defense, stress, plants, data, differential, masshunter, pcr, grown, rna, from, acids, moa, suberin, identified, crna, cutin, linolenic
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