Flowering time regulation that has been widely examined in the plant model species – Arabidopsis thaliana, has a large complex network system. A quantitative approach provides to understand the numerical amount of genes impact strength in each other. Therefore, a quantitative and dynamic modelling of this network based on a system of differential equations is required.
Research interest;
Dynamic modelling of the Arabidopsis thaliana flowering time gene regulation.
An efficient set of parameters for the dynamics of Arabidopsis thaliana flowering time GRN by using an ODE identification (ODEion) method with (no-delay and delay), and compared with the polynomial fitting experimental expression time-course data.
Stability analysis of simplified model.
Analytical and numerical solutions of the dynamic model.
Supervisors
Open Days are a great way for you to get a feel of the University, the city of Newcastle upon Tyne and the course(s) you are interested in.
Information about all of our tuition fees, funding and scholarships.
Get an insight into life at Northumbria at the click of a button! Come and explore our videos and 360 panoramas to immerse yourself in our campuses and get a feel for what it is like studying here using our interactive virtual tour.
Research around the varied challenges people with multiple and complex needs within marginalised…
Blue-light emergency responders are in real danger of burnout with recovery periods between…
A consortium of British universities is exploring a collaborative project with partners in…
Northumbria University has been selected as the lead research partner to work with United Nations…
A groundbreaking new partnership that will unlock career pathways in the built environment…
While Jupiter’s Great Red Spot has been a constant feature of the planet for centuries, astronomers…
Newcastle Cathedral
-
Northumbria University Business and Law School
Northumbria University
Back to top
