Zoran Nikoloski mainly investigates Biochemistry, Genetics, Arabidopsis, Botany and Metabolomics. His work on Quantitative trait locus, Genomics and Secondary cell wall as part of general Genetics research is frequently linked to Genetic association and Genome-wide association study, thereby connecting diverse disciplines of science. His Arabidopsis research is multidisciplinary, incorporating perspectives in Genome, Computational biology and Functional genomics.
His Computational biology research integrates issues from Metabolomics data, Model reconstruction, Data integration and Constraint. His Botany research incorporates elements of Nutrient, Gene, Abscisic acid and Metabolism. In his research, Enzyme is intimately related to Metabolite, which falls under the overarching field of Metabolism.
His primary areas of investigation include Computational biology, Metabolomics, Biochemistry, Biological system and Systems biology. He interconnects Arabidopsis, Gene, Metabolic pathway and Gene regulatory network in the investigation of issues within Computational biology. His Arabidopsis research includes themes of In silico and Cell biology.
His Metabolomics course of study focuses on Botany and Metabolism. His Biological system research is multidisciplinary, incorporating elements of Metabolic Model and Metabolic engineering. His Metabolic network study also includes
Computational biology, Gene, Metabolomics, Systems biology and Metabolic engineering are his primary areas of study. His Computational biology study integrates concerns from other disciplines, such as Metabolic network model, Support vector machine and Gene regulatory network. His work deals with themes such as Primary metabolite and Metabolism, which intersect with Gene.
His research investigates the link between Metabolomics and topics such as Botany that cross with problems in Catabolism and Catalase. His Systems biology study combines topics in areas such as Cluster analysis, Complete bipartite graph, Semantic similarity, Key and Partition. His Arabidopsis thaliana study deals with the bigger picture of Genetics.
Zoran Nikoloski mostly deals with Biochemistry, Computational biology, Antioxidant, Arabidopsis thaliana and Oxidative stress. His study in the field of Metabolism, Adenosine triphosphate and Enzyme is also linked to topics like Amino acid synthesis and Uridine triphosphate. Zoran Nikoloski integrates many fields in his works, including Computational biology and Distance.
His Antioxidant study combines topics from a wide range of disciplines, such as Photosynthesis, Botany, Respiration, Colobanthus quitensis and Metabolic pathway. The Arabidopsis thaliana study combines topics in areas such as Lipidome, Genetic gain, Plant growth and Arabidopsis. His Oxidative stress study incorporates themes from Catabolism, Poaceae, Deschampsia antarctica and Metabolomics.
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On Modularity Clustering
U. Brandes;D. Delling;M. Gaertler;R. Gorke.
IEEE Transactions on Knowledge and Data Engineering (2008)
On finding graph clusterings with maximum modularity
Ulrik Brandes;Daniel Delling;Marco Gaertler;Robert Görke.
workshop on graph theoretic concepts in computer science (2007)
PlaNet: Combined Sequence and Expression Comparisons across Plant Networks Derived from Seven Species
Marek Mutwil;Sebastian Klie;Takayuki Tohge;Federico M Giorgi.
The Plant Cell (2011)
Metabolic Fluxes in an Illuminated Arabidopsis Rosette
Marek Szecowka;Robert Heise;Takayuki Tohge;Adriano Nunes-Nesi.
The Plant Cell (2013)
Metabolic control and regulation of the tricarboxylic acid cycle in photosynthetic and heterotrophic plant tissues.
Wagner L. Araújo;Adriano Nunes-Nesi;Zoran Nikoloski;Lee J. Sweetlove.
Plant Cell and Environment (2012)
Maximizing Modularity is hard
U. Brandes;D. Delling;M. Gaertler;R. Goerke.
arXiv: Data Analysis, Statistics and Probability (2006)
Integrative Comparative Analyses of Transcript and Metabolite Profiles from Pepper and Tomato Ripening and Development Stages Uncovers Species-Specific Patterns of Network Regulatory Behavior
Sonia Osorio;Rob Alba;Zoran Nikoloski;Andrej Kochevenko.
Plant Physiology (2012)
Genome Wide Association in tomato reveals 44 candidate loci for fruit metabolic traits
Christopher Sauvage;Vincent Segura;Guillaume Bauchet;Rebecca Stevens.
Plant Physiology (2014)
Identification and Mode of Inheritance of Quantitative Trait Loci for Secondary Metabolite Abundance in Tomato
Saleh Alseekh;Takayuki Tohge;Regina Wendenberg;Federico Scossa.
The Plant Cell (2015)
Inner composition alignment for inferring directed networks from short time series.
S. Hempel;A. Koseska;J. Kurths;J. Kurths;Z. Nikoloski.
Physical Review Letters (2011)
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