Genome related technologies can contribute to improving global health equity. To do so the genomic health divide must be kept in check and ultimately bridged to ensure that the lack of Indigenous genomic data does not adversely affect access to genome related health services.
AMSI BioInfoSummer is aimed at advanced undergraduate and postgraduate students, researchers, and professionals working in the fields of mathematics, statistics, computer science, information technology, complex systems analysis, and biological, chemical and medical sciences and engineering.
Extensions of linear models are very commonly used in the analysis of biological data. Whereas goodness of fit measures such as the coefficient of determination (R2) or the adjusted R2 are well established for linear models, it is not obvious how such measures should be defined for generalized linear and mixed models.
Dr Alex Whan (CSIRO) presents 'Repset: A Reproducible, Extensible and Portable Framework for Evaluating Computation Tools' and A/Professor Conrad Burden (MSI) discusses 'Sampling Distributions from a Neutral Multi-allele Wright-Fisher Diffusion with Applications to Estimating Mutation Rate Matrices'.
Rigor and reproducibility are at the core of modern science and set apart scientific inquiry from pseudoscience. Statistics, data science skills, and rigor are fundamental to excel in 21st century biology. In addition, these are highly sought-after skill-sets on the current job market.