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September 2018
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Bioinformatics

Modern biology is much more quantitative than the biology of the past, and is now critically dependent on the mathematical, physical and computer sciences. The School of Mathematical Sciences has a strong group of statistical bioinformaticians who conduct research in genomics, proteomics and systems biology in collaboration with biomedical researchers from government, universities and industry.

ResearcherInterests
Gary GlonekDesign and analysis of microarray and other experiments, Data mining, Statistical computing, Bayesian analysis, Analysis of categorical data, Biostatistics, Epidemiology

Patty SolomonGene expression studies, Design and analysis of microarray and other experiments, Analysis of proteomic spectra, Gene and protein networks, Data mining, Components of variance, Biostatistics, Survival analysis, Clinical trials, Critical care medicine, Monitoring and assessing health outcomes, Epidemiology

Simon TukeAnalysis of microarray data, Time course microarray experiments, Biostatistics, Statistical equivalence