Rosado-Souza, L.; Scossa, F.; Chaves, I. S.; Kleessen, S.; Salvador, L. F. D.; Milagre, J. C.; Finger, F.; Bhering, L. L.; Sulpice, R.; Araujo, W. L. et al.; Nikoloski, Z.; Fernie, A. R.; Nunes-Nesi, A.: Exploring natural variation of photosynthetic, primary metabolism and growth parameters in a large panel of Capsicum chinense accessions. Planta 242 (3), S. 677 - 691 (2015)

Medeiros, D. B.; Daloso, D. M.; Fernie, A. R.; Nikoloski, Z.; Araujo, W. L.: Utilizing systems biology to unravel stomatal function and the hierarchies underpinning its control. Plant, Cell and Environment 38 (8), S. 1457 - 1470 (2015)

Cui, X.; Lv, Y.; Chen, M.; Nikoloski, Z.; Twell, D.; Zhang, D.: Young Genes out of the Male: An Insight from Evolutionary Age Analysis of the Pollen Transcriptome. Molecular Plant 8 (6), S. 935 - 945 (2015)

Kleessen, S.; Irgang, S.; Klie, S.; Giavalisco, P.; Nikoloski, Z.: Integration of transcriptomics and metabolomics data specifies the metabolic response of Chlamydomonas to rapamycin treatment. The Plant Journal 81 (5), S. 822 - 835 (2015)

Alseekh, S.; Tohge, T.; Wendenburg, R.; Scossa, F.; Omranian, N.; Li, J.; Kleessen, S.; Giavalisco, P.; Pleban, T.; Mueller-Roeber, B. et al.; Zamir, D.; Nikoloski, Z.; Fernie, A. R.: Identification and mode of inheritance of quantitative trait Loci for secondary metabolite abundance in tomato. The Plant Cell 27 (3), S. 485 - 512 (2015)

Apelt, F.; Breuer, D.; Nikoloski, Z.; Stitt, M.; Kragler, F.: Phytotyping(4D): a light-field imaging system for non-invasive and accurate monitoring of spatio-temporal plant growth. The Plant Journal 82 (4), S. 693 - 706 (2015)

Arnold, A.; Sajitz-Hermstein, M.; Nikoloski, Z.: Effects of Varying Nitrogen Sources on Amino Acid Synthesis Costs in Arabidopsis thaliana under Different Light and Carbon-Source Conditions. PLoS One 10 (2), e0116536 (2015)

Breuer, D.; Nikoloski, Z.: DeFiNe: an optimisation-based method for robust disentangling of filamentous networks. Scientific Reports 5, 18267 (2015)

Estevez, S.; Nikoloski, Z.: Context-Specific Metabolic Model Extraction Based on Regularized Least Squares Optimization. PLoS One 10 (7), e0131875 (2015)

Heise, R.; Fernie, A. R.; Stitt, M.; Nikoloski, Z.: Pool size measurements facilitate the determination of fluxes at branching points in non-stationary metabolic flux analysis: the case of Arabidopsis thaliana. Frontiers in Plant Science 6, 386 (2015)

Nikoloski, Z.; Perez-Storey, R.; Sweetlove, L. J.: Inference and Prediction of Metabolic Network Fluxes. Plant Physiology 169 (3), S. 1443 - 1455 (2015)

Omranian, N.; Kleessen, S.; Tohge, T.; Klie, S.; Basler, G.; Mueller-Roeber, B.; Fernie, A. R.; Nikoloski, Z.: Differential metabolic and coexpression networks of plant metabolism. Trends in Plant Science 20 (5), S. 266 - 268 (2015)

Omranian, N.; Mueller-Roeber, B.; Nikoloski, Z.: Segmentation of biological multivariate time-series data. Scientific Reports 5, S. 8937 - 8937 (2015)

Toepfer, N.; Kleessen, S.; Nikoloski, Z.: Integration of metabolomics data into metabolic networks. Frontiers in Plant Science 6, 49 (2015)

Toubiana, D.; Batushansky, A.; Tzfadia, O.; Scossa, F.; Khan, A.; Barak, S.; Zamir, D.; Fernie, A. R.; Nikoloski, Z.; Fait, A.: Combined correlation-based network and mQTL analyses efficiently identified loci for branched-chain amino acid, serine to threonine, and proline metabolism in tomato seeds. The Plant Journal 81 (1), S. 121 - 133 (2015)

Weiwei, W.; Li, K.; Alseekh, S.; Omranian, N.; Zhao, L.; Zhou, Y.; Xiao, Y.; Jin, M.; Yang, N.; Liu, H. et al.; Florian, A.; Li, W.; Pan, Q.; Nikoloski, Z.; Yan, J.; Fernie, A. R.: Genetic Determinants of the Network of Primary Metabolism and Their Relationships to Plant Performance in a Maize Recombinant Inbred Line Population. The Plant Cell 27 (7), S. 1839 - 1856 (2015)

Kleessen, S.; Nikoloski, Z.: Computational Approaches to Dissect and Understand Mechanisms of Adaptation. In: Molecular Mechanisms in Plant Adaptation, S. 193 - 215. Wiley-Blackwell, Malden (2015)

Sajitz-Hermstein, M.; Nikoloski, Z.: Sensitivity of Contending Cellular Objectives in the Central Carbon Metabolism of Escherichia Coli. In: Information Processing in Cells and Tissues, S. 169 - 172. 10th International Conference on Information Processing in Cells and Tissues (IPCAT), San Diego, CA, 14. September 2015 - 16. September 2015. (2015)