Publikationen von Z. Nikoloski

Klie, S.; Caldana, C.; Nikoloski, Z.: Compromise of multiple time-resolved transcriptomics experiments identifies tightly regulated functions. Frontiers in Plant Science 3, S. 249 (2012)

Klie, S.; Mutwil, M.; Persson, S.; Nikoloski, Z.: Inferring gene functions through dissection of relevance networks: interleaving the intra- and inter-species views. Molecular BioSystems 8 (9), S. 2233 - 2241 (2012)

Klie, S.; Nikoloski, Z.: The Choice between MapMan and Gene Ontology for Automated Gene Function Prediction in Plant Science. Frontiers in Genetics 3, S. 115 (2012)

Omidbakhshfard, M. A.; Omranian, N.; Ahmadi, F. S.; Nikoloski, Z.; Mueller-Roeber, B.: Effect of salt stress on genes encoding translation-associated proteins in Arabidopsis thaliana. Plant Signaling & Behavior 7 (9), S. 1095 - 1102 (2012)

Omranian, N.; Mueller-Roeber, B.; Nikoloski, Z.: PageRank-based identification of signaling crosstalk from transcriptomics data: the case of Arabidopsis thaliana. Molecular BioSystems 8 (4), S. 1121 - 1127 (2012)

Osorio, S.; Alba, R.; Nikoloski, Z.; Kochevenko, A.; Fernie, A. R.; Giovannoni, J. J.: Integrative Comparative Analyses of Transcript and Metabolite Profiles from Pepper and Tomato Ripening and Development Stages Uncovers Species-Specific Patterns of Network Regulatory Behavior. Plant Physiology 159 (4), S. 1713 - 1729 (2012)

Sajitz-Hermstein, M.; Nikoloski, Z.: Restricted cooperative games on metabolic networks reveal functionally important reactions. Journal of Theoretical Biology 314, S. 192 - 203 (2012)

Toepfer, N.; Jozefczuk, S.; Nikoloski, Z.: Integration of time-resolved transcriptomics data with flux-based methods reveals stress-induced metabolic adaptation in Escherichia coli. BMC Systems Biology 6 (1), S. 148 (2012)

Toubiana, D.; Semel, Y.; Tohge, T.; Beleggia, R.; Cattivelli, L.; Rosental, L.; Nikoloski, Z.; Zamir, D.; Fernie, A. R.; Fait, A.: Metabolic Profiling of a Mapping Population Exposes New Insights in the Regulation of Seed Metabolism and Seed, Fruit, and Plant Relations. PLoS Genetics 8 (3), S. e1002612 (2012)

Larhlimi, A.; Blachon, S.; Selbig, J.; Nikoloski, Z.: Robustness of metabolic networks: A review of existing definitions. Biosystems 106 (1), S. 1 - 8 (2011)

Arnold, A.; Nikoloski, Z.: A quantitative comparison of CalvinBenson cycle models. Trends in Plant Science 16 (12), S. 676 - 683 (2011)

Basler, G.; Ebenhoeh, O.; Selbig, J.; Nikoloski, Z.: Mass-balanced randomization of metabolic networks. Bioinformatics 27 (10), S. 1397 - 1403 (2011)

Basler, G.; Grimbs, S.; Ebenhoeh, O.; Selbig, J.; Nikoloski, Z.: Evolutionary significance of metabolic network properties. Journal of the Royal Society Interface 9 (71), S. 1168 - 1176 (2011)

Basler, G.; Nikoloski, Z.: JMassBalance: mass-balanced randomization and analysis of metabolic networks. Bioinformatics 27 (19), S. 2761 - 2762 (2011)

Grimbs, S.; Arnold, A.; Koseka, A.; Kurths, J.; Selbig, J.; Nikoloski, Z.: Spatiotemporal dynamics of the Calvin cycle: Multistationarity and symmetry breaking instabilities. Biosystems 103 (2), S. 212 - 223 (2011)

Hempel, S.; Koseska, A.; Nikoloski, Z.; Kurths, J.: Unraveling gene regulatory networks from time-resolved gene expression data - a measures comparison study. BMC Bioinformatics 12, S. 292 (2011)

Hempel, S.; Kurths, J.; Koseska, A.; Nikoloski, Z.: Inner Composition Alignment for Inferring Directed Networks from Short Time Series. Physical Review Letters 107 (5), S. 054101 (2011)

Lisec, J.; Romisch-Margl, L.; Nikoloski, Z.; Piepho, H. P.; Giavalisco, P.; Selbig, J.; Gierl, A.; Willmitzer, L.: Corn hybrids display lower metabolite variability and complex metabolite inheritance patterns. The Plant Journal 68 (2), S. 326 - 336 (2011)

Mutwil, M.; Klie, S.; Tohge, T.; Giorgi, F. M.; Wilkins, O.; Campbell, M. M.; Fernie, A. R.; Usadel, B.; Nikoloski, Z.; Persson, S.: PlaNet: Combined Sequence and Expression Comparisons across Plant Networks Derived from Seven Species. The Plant Cell 23 (3), S. 895 - 910 (2011)

Nikoloski, Z.; Grimbs, S.; Klie, S.; Selbig, J.: Complexity of automated gene annotation. Biosystems 104 (1), S. 1 - 8 (2011)