Molecular embryology and fertility, Retroviruses in tumorgenesis and as gene vectors, Neurobiology, Stem cells, Cell differentiation and development, Disease models in zebrafish, Ageing, Regulation by cytokines and peptides, Cell signalling, Regulation of cell function and differentiation by phosphate, Plasminogen activation, Molecular genetics, Genomic instability, DNA topology, RNA processing, mRNA control, Transcriptional regulation, Infectious patogenes.

Structure-function analysis, Macromolecular crystallography, Protein complexes, Translational apparatus, RNA regulation and processing, mRNA control, Membrane proteins, Primary and secondary transporters, Neuroreceptors, Carbohydrate and scavenger receptors, Calcium binding proteins, Cytokines and peptide hormones, Proteolytic enzymes, Innate immunity, Protein engineering.

Animal and plant genome sequencing, Genome annotation, non coding RNA biology, MicroRNA biology, Genetic mapping of complex traits, Identification of disease genes, Disease models, Functional genomics, Molecular genetics, Epigenetics, Expression quantitative trait loci, Transcriptomics, Genetic and structural variation, Metagenomics, Bioinformatics.

Symbiotic nitrogen fixation, Plant development, Seed formation, Plant-microbe interaction, Genetics and genomics, Plant biotechnology, Molecular biological studies of cereals and grasses, Gene expression analysis, Biolistic and Agrobacterium-mediated transformation of barley and wheat, Transgenic plants, QTL analysis of perennial ryegrass with primary focus on flowering, cell wall composition and male sterility, Mechanisms behind the availability, utilization and metabolism of phosphate, nitrogen, starch, amino acids, minerals and cell walls, New cereal and grass varieties with improved properties for yield and use as feed, food and biomass for bioethanol production, Biomass production in wheat and ryegrass, BAC libraries, genetic mapping, microsatellite markers, laser capture microdissection, microarray.

Bioinformatics focuses on developing computational methods for collecting, handling and analyzing biological data. Research ranges from formulating models and theories about biological systems, to constructing algorithms and developing computer programs, and requires expertise in many traditional disciplines. Bioinformatics has a strong emphasis on molecular evolution, molecular population genetics, and statistical and algorithmic approaches to bioinformatics, and our research spans from addressing purely theoretical questions, to program development, applications and empirical collaborations.