Join us in the Computational Biology team at Beautiful Melbourne, a leading research unit in statistical genetics and genomics using big data to improve productivity and welfare of agricultural species. Apply if interested in analyses of super big datasets!

We’re excited to launch a new Expression of Interest (EOI) form to allow you to apply for PhD studentship or postdoctoral researcher positions within the Australian Research Council Training Centre in Predictive Breeding. We are especially seeking EOI's from Quantitative Geneticists in Animal

Thank you to everyone who joined us at UQ on Friday to celebrate the Official Launch of the ARC Training Centre in Predictive Breeding. It was great to see so many of our researchers and industry partners, and we're so excited about the journey ahead! ➡️bit.ly/499wgsx

One of it’s kind: sheep multi-tissue developmental gene expression atlas (dGEA) academic.oup.com/gpb/article/do… ; global collaboration across EU, China, Australia and US! Emily Clark Lingzhao Fang

Great to see the Farm Animal Genotype–Tissue Expression (#FarmGTEx) Project perspective article published in Nature Genetics. A fantastic #livestock #FunctionalGenomics project led by Lingzhao Fang at Aarhus University. nature.com/articles/s4158…

Thrilled to share that The Farm Animal Genotype–Tissue Expression (FarmGTEx) Project perspective paper is out ⁦Nature Genetics⁩. Thank all the authors for the efforts and supports. Looking forward to seeing amazing science coming from this initiative. nature.com/articles/s4158…

Exciting global efforts to discover and use regulatory variants (eg, eQTLs, sQTLs) to enhance agriculture, evolution and biomedicine! Further reading for our pioneer work in Cattle GTEx: resource 👉nature.com/articles/s4158…; trait heritability dissection 👉sciencedirect.com/science/articl…

Thrilled to share that the pilot ChickenGTEx resource is online at Nature Genetics now ⁦Nature Genetics⁩ . Congratulations to all the collaborators. Looking forward to more scientific outcomes from the FarmGTEx. nature.com/articles/s4158…

Complex trait analyses usually focus on trait means. We analysed trait variances in human blood cell phenotypes, yielding new biological/clinical insights: trait variation strongly negatively selected, impact polygenic score accuracy and highlights the effect of alcohol on health

Further reading: Further reading: nature.com/articles/s4146…

We collaborated on analysing MRI imaging data from the UK Biobank, found that visceral adipose tissue (abdominal fat) has stronger links to venous thromboembolism (blood clot) than BMI. Publication: sciencedirect.com/science/articl…

Estimated Breeding Value(EBV) or Polygenic Score(PGS) cal using genome-wide SNPs. We propose calculate EBV or PGS near genes - cis or local EBV/PGS to assoc with assayed gene expression to prioritise genes and tissues: Genetic score omics regression (GSOR)academic.oup.com/pnasnexus/arti…

GSOR is validated by applying it to milk lipid traits in cattle, led by Ghoreishifar et al, and they identify potentially causal genes and pathways linked to milk composition: lnkd.in/gUyqvtG9