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
Two PhD researchers from Northumbria University have been awarded Venice Fellowships by the…
Northumbria University has unveiled a new state-of-the-art X-ray radiography instrument – an…
A biodegradable battery developed by researchers at Northumbria University has won a major…
On Thursday 22nd May, Innovate UK marked 50 years of Knowledge Transfer Partnerships (KTPs)…
A trailblazing education programme that has its origins in North East England is being rolled…
Northumbria University has once again cemented its reputation as a leading institution providing…
Lecture Theatre 003
-
Virtual Event
-
Back to top
