My research involves generation and interpretation of large scale omics data using network modelling techniques. Also, my research focuses on taking this novel systems biology based data and using it to generate novel organism phenotypes through synthetic biology approaches. These phenotypes involve the generation of organisms useful for agriculture and other industries such as crop plants with enhanced defence capabilities and organisms capable of producing useful chemicals and proteins.
There are a range of projects currently underway in the group for more details please see my Research Interests.
If you are interested in conduting MRes or UROP projects in areas of remote sensing (including hardware development for UAVs), Systems and Synthetic biology as well as general plant pathology please contact me.
Law J, Ng K, Windram O, 2020, The phenotype paradox: lessons from natural transcriptome evolution on how to engineer plants, Frontiers in Plant Science, Vol:11, ISSN:1664-462X
et al., 2017, Molecular diversity, geographic distribution and host range of monocot-infecting mastreviruses in Africa and surrounding islands, Virus Research, Vol:238, ISSN:0168-1702, Pages:171-178
et al., 2017, Engineering microbialm phenotypes through rewiring of genetic networks, Nucleic Acids Research, Vol:45, ISSN:1362-4962, Pages:4984-4993
Windram O, Denby KJ, 2015, Modelling signaling networks underlying plant defence, Current Opinion in Plant Biology, Vol:27, ISSN:1879-0356, Pages:165-171
Bayer T, Rodrigues R, Windram O, 2015, Use of a rewired genetic control network to increase product expression