Publications of Zoran Nikoloski

Tong, H.; Nikoloski, Z.: Machine learning approaches for crop improvement: Leveraging phenotypic and genotypic big data. Journal of Plant Physiology 257, 153354 (2021)

Razaghi-Moghadam, Z.; Nikoloski, Z.: GeneReg: A constraint-based approach for design of feasible metabolic engineering strategies at the gene level. Bioinformatics (2020)

Nowak, J.; Gennermann, K.; Persson, S.; Nikoloski, Z.: CytoSeg 2.0: automated extraction of actin filaments. Bioinformatics 36 (9), pp. 2950 - 2951 (2020)

Clemente-Moreno, M.; Omranian, N.; Sáez, P.; Figueroa, C.; Del-Saz, N.; Elso, M.; Poblete, L.; Orf, I.; Cuadros-Inostroza, A.; Cavieres, L.A. et al.; Bravo, L.; Fernie, A. R.; Ribas-Carbó, M.; Flexas, J.; Nikoloski, Z.; Brotman, Y.; Gago, J.: Low temperature tolerance of the Antarctic species Deschampsia antarctica: a complex metabolic response associated with nutrient remobilization. Plant, Cell and Environment 43 (6), pp. 1376 - 1393 (2020)

Correa, S. M.; Alseekh, S.; Atehortúa, L.; Brotman, Y.; Ríos-Estepa, R.; Fernie, A. R.; Nikoloski, Z.: Model-assisted identification of metabolic engineering strategies for Jatropha curcas lipid pathways. The Plant Journal (accepted)

Correa, S. M.; Fernie, A. R.; Nikoloski, Z.; Brotman, Y.: Towards model-driven characterization and manipulation of plant lipid metabolism. Progress in Lipid Research 80, 101051 (2020)

Küken, A.; Gennermann, K.; Nikoloski, Z.: Characterization of maximal enzyme catalytic rates in central metabolism of Arabidopsis thaliana. The Plant Journal 103 (6), pp. 2168 - 2177 (2020)

Lyall, R.; Nikoloski, Z.; Gechev, T.: Comparative analysis of ros network genes in extremophile eukaryotes. International Journal of Molecular Sciences 21 (23), pp. 1 - 27 (2020)

Razaghi-Moghadam, Z.; Nikoloski, Z.: Supervised Learning of Gene Regulatory Networks. Current Protocols in Plant Biology 5 (2), e20106 (2020)

Robaina-Estévez, S.; Nikoloski, Z.: Flux-based hierarchical organization of Escherichia coli’s metabolic network. PLoS Computational Biology 16 (4), e1007832 (2020)

Tong, H.; Küken, A.; Nikoloski, Z.: Integrating molecular markers into metabolic models improves genomic selection for Arabidopsis growth. Nature Communications 11 (1), 2410 (2020)

Angeleska, A.; Nikoloski, Z.: Coherent network partitions. Discrete applied mathematics 266, pp. 283 - 290 (2019)

Clemente-Moreno, J. M.; Omranian, N.; Sáez, P.; Figueroa, C. M.; Del-Saz, N.; Elso, M.; Poblete, L.; Orf, I.; Cuadros-Inostroza, A.; Cavieres, L. et al.; Bravo, L.; Fernie, A. R.; Ribas-Carbó, M.; Flexas, J.; Nikoloski, Z.; Brotman, Y.; Gago, J.: Cytochrome respiration pathway and sulphur metabolism sustain stress tolerance to low temperature in the Antarctic species Colobanthus quitensis. New Phytologist 225 (2), pp. 754 - 768 (2019)

Ferrari, C.; Proost, S.; Janowski, M.; Becker, J.; Nikoloski, Z.; Bhattacharya, D.; Price, D.; Tohge, T.; Bar-Even, A.; Fernie, A. R. et al.; Stitt, M.; Mutwil, M.: Kingdom-wide comparison reveals the evolution of diurnal gene expression in Archaeplastida. Nature Communications 10, 737 (2019)

Küken, A.; Nikoloski, Z.: Computational Approaches to Design and Test Plant Synthetic Metabolic Pathways. Plant Physiology 179 (3), pp. 894 - 906 (2019)

Küken, A.; Eloundou-Mbebi, J. M. O.; Basler, G.; Nikoloski, Z.: Cellular determinants of metabolite concentration ranges. PLoS Computational Biology 15 (1), e1006687 (2019)

Laitinen, R.; Nikoloski, Z.: Genetic basis of plasticity in plants. Journal of Experimental Botany 70 (3), pp. 739 - 745 (2019)

Langary, D.; Nikoloski, Z.: Inference of chemical reaction networks based on concentration profiles using an optimization framework. Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (11), 113121, p. 113121 (2019)

Nunes-Nesi, A.; Alseekh, S.; de Silva, O.; Magnum, F.; Omranian, N.; Lichtenstein, G.; Mirnezhad, M.; González, R. R. R.; Garcia, J. S. y.; Conte, M. et al.; Leiss, K. A.; Klinkhamer, P. G. L.; Nikoloski, Z.; Carrari, F.; Fernie, A. R.: Identification and characterization of metabolite quantitative trait loci in tomato leaves and comparison with those reported for fruits and seeds. Metabolomics 15 (4), 46 (2019)

Pandey, P. K.; Yu, J.; Omranian, N.; Alseekh, S.; Vaid, N.; Fernie, A. R.; Nikoloski, Z.; Laitinen, R.: Plasticity in metabolism underpins local responses to nitrogen in Arabidopsis thaliana populations. Plant Direct 3 (11), e00186 (2019)