|Metabolite profiling and network analysis reveal coordinated changes in grapevine water stress response|
U Hochberg, A Degu, D Toubiana, T Gendler, Z Nikoloski, ...
BMC plant biology 13 (1), 1-16, 2013
|Metabolic profiling of a mapping population exposes new insights in the regulation of seed metabolism and seed, fruit, and plant relations|
D Toubiana, Y Semel, T Tohge, R Beleggia, L Cattivelli, L Rosental, ...
PLoS genetics 8 (3), e1002612, 2012
|Network analysis: tackling complex data to study plant metabolism|
D Toubiana, AR Fernie, Z Nikoloski, A Fait
Trends in biotechnology 31 (1), 29-36, 2013
|Correlation-based network generation, visualization, and analysis as a powerful tool in biological studies: a case study in cancer cell metabolism|
A Batushansky, D Toubiana, A Fait
BioMed research international 2016, 2016
|Regional features of northern Italian sparkling wines, identified using solid-phase micro extraction and comprehensive two-dimensional gas chromatography coupled with time-of …|
S Carlin, U Vrhovsek, P Franceschi, C Lotti, L Bontempo, F Camin, ...
Food chemistry 208, 68-80, 2016
|Combined transcriptomics and metabolomics of Arabidopsis thaliana seedlings exposed to exogenous GABA suggest its role in plants is predominantly metabolic|
A Batushansky, M Kirma, N Grillich, D Toubiana, PA Pham, I Balbo, ...
Molecular Plant 7 (6), 1065-1068, 2014
|Combined network analysis and machine learning allows the prediction of metabolic pathways from tomato metabolomics data|
D Toubiana, R Puzis, L Wen, N Sikron, A Kurmanbayeva, A Soltabayeva, ...
Communications biology 2 (1), 214, 2019
|Mechanisms of hormonal regulation of endosperm cap‐specific gene expression in tomato seeds|
C Martínez‐Andújar, WE Pluskota, GW Bassel, M Asahina, P Pupel, ...
The Plant Journal 71 (4), 575-586, 2012
|Combined correlation‐based network and mQTL analyses efficiently identified loci for branched‐chain amino acid, serine to threonine, and proline metabolism in tomato seeds|
D Toubiana, A Batushansky, O Tzfadia, F Scossa, A Khan, S Barak, ...
The Plant Journal 81 (1), 121-133, 2015
|The common transcriptional subnetworks of the grape berry skin in the late stages of ripening|
R Ghan, J Petereit, RL Tillett, KA Schlauch, D Toubiana, A Fait, ...
BMC plant biology 17 (1), 1-21, 2017
|Bet-hedging in bacteriocin producing Escherichia coli populations: the single cell perspective|
B Bayramoglu, D Toubiana, S Van Vliet, RF Inglis, N Shnerb, O Gillor
Scientific reports 7 (1), 42068, 2017
|Environmental and genetic effects on tomato seed metabolic balance and its association with germination vigor|
L Rosental, A Perelman, N Nevo, D Toubiana, T Samani, A Batushansky, ...
BMC genomics 17, 1-21, 2016
|Correlation-Based Network Analysis of Metabolite and Enzyme Profiles Reveals a Role of Citrate Biosynthesis in Modulating N and C Metabolism in Zea mays|
D Toubiana, W Xue, N Zhang, K Kremling, A Gur, S Pilosof, Y Gibon, ...
Frontiers in Plant Science 7, 1022, 2016
|Hormone balance in a climacteric plum fruit and its non-climacteric bud mutant during ripening|
M Farcuh, D Toubiana, N Sade, RM Rivero, A Doron-Faigenboim, ...
Plant Science 280, 51-65, 2019
|Genome-wide transcription profiling of aerobic and anaerobic Escherichia coli biofilm and planktonic cultures|
B Bayramoglu, D Toubiana, O Gillor
FEMS Microbiology Letters 364 (3), fnx006, 2017
|Ambivalent role of calcium in the viscoelastic properties of extracellular polymeric substances and the consequent fouling of reverse osmosis membranes|
D Ferrando, D Toubiana, NS Kandiyote, TH Nguyen, A Nejidat, ...
Desalination 429, 12-19, 2018
|Metabolite profiling elucidates communalities and differences in the polyphenol biosynthetic pathways of red and white Muscat genotypes|
A Degu, C Morcia, G Tumino, U Hochberg, D Toubiana, F Mattivi, ...
Plant Physiology and Biochemistry 86, 24-33, 2015
|NMR-based metabolic study of fruits of Physalis peruviana L. grown in eight different Peruvian ecosystems|
H Maruenda, R Cabrera, C Cañari-Chumpitaz, JM Lopez, D Toubiana
Food chemistry 262, 94-101, 2018
|A genetic algorithm to optimize weighted gene co-expression network analysis|
D Toubiana, R Puzis, A Sadka, E Blumwald
Journal of Computational Biology 26 (12), 1349-1366, 2019
|Correlation-based network analysis combined with machine learning techniques highlight the role of the GABA shunt in Brachypodium sylvaticum freezing tolerance|
D Toubiana, N Sade, L Liu, MM Rubio Wilhelmi, Y Brotman, ...
Scientific reports 10 (1), 4489, 2020