Bioinformatics and systems-level genomics

As we generate increasing amounts of genome-wide data we have to expand our repertoire of analytical tools, not only to identity genomic changes associated with disease and development, but also to understand the functional pathways between genetic variation and phenotype. We are actively developing analytical pipelines to deal with increasingly complex study designs that include multiple tissues, longitudinal sampling and cross-omic data. We are utilising systems biology approaches to examine co-methylation networks across a range of exposures, which can be integrated with co-expression networks or gene ontology, for additional function interpretation.

Online databases