about
The investment in scent: time-resolved metabolic processes in developing volatile-producing Nigella sativa L. seedsCorrelation-Based Network Generation, Visualization, and Analysis as a Powerful Tool in Biological Studies: A Case Study in Cancer Cell MetabolismThe common transcriptional subnetworks of the grape berry skin in the late stages of ripeningMetabolic profiling of a mapping population exposes new insights in the regulation of seed metabolism and seed, fruit, and plant relationsMetabolite profiling and network analysis reveal coordinated changes in grapevine water stress response.Network analysis: tackling complex data to study plant metabolism.Metabolic patterns associated with the seasonal rhythm of seed survival after dehydration in germinated seeds of Schismus arabicus.Environmental and genetic effects on tomato seed metabolic balance and its association with germination vigorBet-hedging in bacteriocin producing Escherichia coli populations: the single cell perspective.Regional features of northern Italian sparkling wines, identified using solid-phase micro extraction and comprehensive two-dimensional gas chromatography coupled with time-of-flight mass spectrometry.Metabolite profiling elucidates communalities and differences in the polyphenol biosynthetic pathways of red and white Muscat genotypes.Combined correlation-based network and mQTL analyses efficiently identified loci for branched-chain amino acid, serine to threonine, and proline metabolism in tomato seeds.Combined transcriptomics and metabolomics of Arabidopsis thaliana seedlings exposed to exogenous GABA suggest its role in plants is predominantly metabolic.Mechanisms of hormonal regulation of endosperm cap-specific gene expression in tomato seedsCombined network analysis and machine learning allows the prediction of metabolic pathways from tomato metabolomics data
P50
Q28536600-D63EAF2D-577D-49AE-8583-09C549ED934CQ30827097-1D31F5F3-F74C-4DF4-BB29-83C6E0E95FD6Q33742645-d8de9718-42a2-b083-02ae-3ab1b7163e33Q34221059-9B350F56-2922-41FF-BB33-8831373CA709Q34477974-19310A99-A180-403A-A054-D6BD68EFAFD6Q34514385-D23F5E53-B14E-4070-BAF2-38E31417D65AQ35090467-4B63578F-3DA7-4562-8C6B-597FFD08D3FDQ36228794-5C081B2B-8F66-4FB7-AA8F-94031D49B5C9Q37625706-3E4DCF74-317F-4553-9407-63F5E3112943Q38932183-5F2C06F3-D0A4-4E57-A9A9-87E89D87C507Q38968565-4BD66852-DC07-4BF6-9535-2A7CE986C12CQ39530920-C7E343E2-15D9-4510-B69B-1CD57B29216FQ51467973-0120FC9B-CA9D-445E-BC4E-832D0846545CQ62658025-4A412C24-53B1-4B53-B331-4B1B2E4A0431Q93031229-7E32D1C5-E53E-4D8C-842E-B53AABEDE64E
P50
description
onderzoeker
@nl
researcher ORCID ID = 0000-0001-9526-1745
@en
name
David Toubiana
@ast
David Toubiana
@en
David Toubiana
@es
David Toubiana
@nl
type
label
David Toubiana
@ast
David Toubiana
@en
David Toubiana
@es
David Toubiana
@nl
prefLabel
David Toubiana
@ast
David Toubiana
@en
David Toubiana
@es
David Toubiana
@nl
P214
P106
P1153
55165365800
P2038
David_Toubiana
P21
P214
P31
P496
0000-0001-9526-1745
P735
P7859
viaf-308261085