Publications of Zoran Nikoloski

Journal Article (10)

1.
Journal Article
Razaghi-Moghadam, Z.; Nikoloski, Z.: GeneReg: A constraint-based approach for design of feasible metabolic engineering strategies at the gene level. Bioinformatics (2020)
2.
Journal Article
Nowak, J.; Gennermann, K.; Persson, S.; Nikoloski, Z.: CytoSeg 2.0: automated extraction of actin filaments. Bioinformatics 36 (9), pp. 2950 - 2951 (2020)
3.
Journal Article
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)
4.
Journal Article
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)
5.
Journal Article
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)
6.
Journal Article
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)
7.
Journal Article
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)
8.
Journal Article
Razaghi-Moghadam, Z.; Nikoloski, Z.: Supervised Learning of Gene Regulatory Networks. Current Protocols in Plant Biology 5 (2), e20106 (2020)
9.
Journal Article
Robaina-Estévez, S.; Nikoloski, Z.: Flux-based hierarchical organization of Escherichia coli’s metabolic network. PLoS Computational Biology 16 (4), e1007832 (2020)
10.
Journal Article
Tong, H.; Küken, A.; Nikoloski, Z.: Integrating molecular markers into metabolic models improves genomic selection for Arabidopsis growth. Nature Communications 11 (1), 2410 (2020)
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