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Wenbin Guo

Staff picture: Wenbin Guo
Information and Computational Sciences
Information and Computational Sciences
PhD Student
wenbin.guo@hutton.ac.uk
+44 (0)344 928 5428 (*)

The James Hutton Institute
Invergowrie
Dundee DD2 5DA
Scotland UK

 

Wenbin completed a BSc (Hons) in Applied Mathematics at Zhejiang University of Technology, China in July 2012 and an MSc in Mathematical Biology at the University of Dundee in September 2013. During his study, he focused on how to use mathematical models to solve biological problems, such as PDE models in pest control and differential equation models in gene network analysis. Now he is registered at the University of Dundee and working on the PhD project ‘Constructions of regulatory networks and integration of large scale experimental data in plants’. He has great interests in the fields of mathematical biology and gene network analysis which involves large scale data integrating and interpreting, gene network construction, mathematical models for network dynamics investigation and network simplification and optimisation.

Current research interests

PhD Studentship

Constructions of regulatory networks and integration of large scale experimental data in plants

At a cellular and molecular level, biology functions as a unified system of interacting and/or independent groups of molecules. Extensive knowledge about individual cellular components often cannot explain how a system operates at the level of the system as a whole, and thus fails to deliver successful solutions to many biological problems. With the availability of both genome sequences and high-throughput technologies such as RNA-seq and various flavours of mass spectrometry, cellular components can be detected and quantified simultaneously providing opportunities to gather accurate biological information at a range of different levels (DNA, RNA, proteins, metabolites, traits and phenotypes).

Methods for integrating and interpreting these data in a meaningful way are therefore powerful tools for identifying known and unknown links between components, in turn helping to identify genetic and molecular mechanisms that provide a more holistic understanding of the process under investigation.

The aim of the project is:

  • (a) to integrate and interpret the large scale gene data of crops in a meaningful way
  • (b) to construct gene network from experimental data
  • (c) to identify functional modules from genetic perturbations, further to use mathematical models to investigate the dynamics
  • (d) to find solutions for complex models.

Supervisors: Dr Runxuan Zhang (James Hutton Institute) and Professor John Brown (University of Dundee).

Co-supervisor: Professor Ping Lin (University of Dundee)

Past research

  • Project in Zhejiang University of Technology: Set up mathematical models to investigate the ozone in greenhouse pest control.
  • Honours year project: Set up spatiotemporal PDE mathematical models to investigate the population movement of insects, such as locusts and aphids. The outcome is expected to provide an idea to detect and control the insect swarm. Further to reduce the chemical use and to protect the environment.
  • MSc project: Detect how to acquire and process gene expression data, how to construct gene networks from experimental data, how to simplify and optimise the network models. The goal is to have a basic scope of how to construct gene networks from large scale experimental data.

Printed from /staff/wenbin-guo on 11/08/20 08:27:23 PM

The James Hutton Research Institute is the result of the merger in April 2011 of MLURI and SCRI. This merger formed a new powerhouse for research into food, land use, and climate change.