We offer a range of Hons, MSc and PhD student projects with computational biology and genomics research themes

• Multivariate computational methods for data integration of single cell assays

• Machine learning methods for mRNA alternative splicing

• 2D multi-scale approaches for analysis of high-throughput sequencing data

• Treelets-based approaches to estimating sparse fine-scale population structure from genetic data

• Predicting stem cell behaviour

• Finding signatures of cell identity in Stemformatics

• Genome-wide models for heritability and prediction

• Quantifying genetic variation across multiple populations

• Forensic weight-of-evidence for unilineal markers

• Gaussian process regression for ABC inference

• The population history of indigenous Australians: what can the available genetic data tell us?

• Inference of RNA binding proteins (RBP) occupancy transcriptome-wide

• Statistical approaches for analysis of ribosome profiling data: regulation of stop codon readthrough during protein translation

• Better predictions of transcription factor activity in footprinting

• Developing a comprehensive chimpanzee transcriptome

• Reconciliations of gene and species phylogenies

• Mathematical modelling of recombination between gene duplicates

• A time-course ‘omics multivariate data analysis framework

• Overall model fit criteria for multivariate integrative models

• Genetic diversity in public chimpanzee data sets: truly representative of the species?

• How robust are gene regulatory networks across populations?