Olivia Angelin-Bonnet
Statistical Scientist
Plant & Food Research
Olivia completed her PhD in Statistics at Massey University, where she worked on unravelling genotype-to-phenotype relationships from multi-omics data, with a focus on polyploid organisms. She is now a statistical scientist at Plant & Food Research working on multi-omics data integration. She is passionate about reproducible research and developing R packages for omics data analysis and visualisation.
Reproducible multi-omics integration pipelines with the moiraine R package
The integrated analysis of multi-omics datasets is a challenging problem, owing to their complexity and high dimensionality. Numerous integration tools have been developed, but they are heterogeneous in terms of their underlying statistical methodology, input data requirements, implementation, and visual representation of the results generated.
To address this, I present the moiraine R package, which provides a framework to consistently visualise and integrate multi-omics datasets and compare the results of different integration tools. In particular, moiraine uses available metadata to construct context-rich visualisations, which facilitate the interpretation of the results by domain experts. The package has been designed to enable reproducible research, through the construction of targets pipelines. A comprehensive documentation is available online in the form of a Quarto book.