I am a Professor of bioinformatics, with particular interest in the development of new approaches and software for interpreting omics data. Broadly, the group is working in three main areas at present, as follows.

Proteomics: My research group has built several packages for proteomics data analysis, many of which are released as open source, free software, and one of which is now sold commercially. I also have an interest in mechanisms for analysis and integration of multi-omics data (genomics, proteomics and metabolomics) - in particularly understanding the evolution and function of post-translational modifications (PTMs). My group has expertise around databases, data curation, knowledge management and data standards - for example I have a leading role in the Proteomics Standards Initiative.

Analysis of multi-omics data for crops: We are developing approaches for integrating and analysing large-scale publicly available data on crops, particularly rice - including the use of proteogenomics, analysis of PTMs, and performing genome annotation.

Application of machine learning: my research group is increasingly using machine learning (ML) for analysis of data from biological systems including humans/animals, eukaryotic pathogens and plants; we are also applying ML approaches for analysis of clinical data sets, in immunogenetics and cancer diagnosis.