Australian bioinformatics research
Reading life’s complexity.
Exploring longevity.
Connecting biological questions with computational analysis to explore the patterns that shape ageing and lifespan.
AI-generated scientific illustration · not experimental microscopy01 / About Australis Biogenetics
Big biological questions.
A careful computational approach.
Australis Biogenetics is an Australian bioinformatics research initiative with a focus on questions relevant to longevity.
Our aim is to use publicly available biological data to investigate how ageing and lifespan vary, and to identify patterns worth examining further. We bring biological curiosity to computational work: defining clear questions, inspecting data quality, and testing how much conclusions depend on analytical choices.
We believe useful research should be understandable and open to scrutiny. Our research notes pair clear scientific writing with documented data sources, analysis code and limitations, so others can examine and repeat the work.
Our ambition is discovery grounded in evidence. Computational findings can generate hypotheses; they do not, by themselves, establish causes, validate a treatment or demonstrate longer human life.
02 / Research focus
Different scales.
Connected questions.
From molecular activity to variation between species, longevity research depends on understanding both biological context and the limits of each dataset.
How does biology change with age?
Ageing involves interacting molecular and cellular processes. Gene-expression atlases offer a way to study how age-associated patterns differ across tissues and cell types.1,2
Genomics / Gene expression / Ageing
What can differences in lifespan tell us?
Comparative life-history datasets make it possible to examine relationships between traits and recorded longevity. Shared ancestry, sampling and uncertain records need careful treatment.3
Comparative biology / Life history
Which findings hold up to scrutiny?
Published lifespan experiments can be analysed across studies and model organisms. Results must be interpreted in the context of species, experimental design and endpoint definitions.4
Evidence synthesis / Robustness
03 / Our approach
Make every step
open to examination.
A compelling result is the beginning of a conversation. Transparent methods help others judge what the evidence can support.
Start with a precise question
Define the biological question and analytical scope before interpreting the results.
Understand the source data
Document provenance, inclusion rules, missingness, measurement differences and potential bias.
Test the interpretation
Examine alternative specifications, confounding and uncertainty. Distinguish exploratory patterns from confirmatory evidence.
Share the complete analysis
Present methods, references, code and limitations alongside the findings, with the review status made clear.
04 / Research library
Ideas to investigate.
Methods to inspect.
A home for computational research, with the underlying evidence and analysis available for examination.
Maturation and mammalian longevity
An analysis of 801 mammalian species examines how the association between maturation timing and recorded lifespan changes with taxonomic adjustment. An observational robustness study, without a phylogenetic model or evidence of treatment benefit.
5 September 2026 · Unreviewed AI-assisted computational research
Lifespan endpoints are not interchangeable
A publication-balanced analysis of 990 paired DrugAge records compares average/median with maximum/upper-tail lifespan changes. Missing endpoints, selective inclusion and source-label issues limit interpretation; these data do not establish human treatment efficacy.
5 September 2026 · Unreviewed AI-assisted computational research
Both notes include full methods, references and limitations. Numerical reproduction is not external peer review. Download the shared data and code archive (ZIP, 3.1 MB).
05 / Scientific foundations
Follow the evidence.
These independent publications provide context for the questions described above. Their authors and institutions are not affiliated with or endorsing Australis Biogenetics.
- López-Otín C, Blasco MA, Partridge L, Serrano M, Kroemer G. Hallmarks of aging: An expanding universe. Cell. 2023;186:243–278. doi:10.1016/j.cell.2022.11.001.
- The Tabula Muris Consortium. A single-cell transcriptomic atlas characterizes ageing tissues in the mouse. Nature. 2020;583:590–595. doi:10.1038/s41586-020-2496-1.
- de Magalhães JP, Costa J. A database of vertebrate longevity records and their relation to other life-history traits. Journal of Evolutionary Biology. 2009;22:1770–1774. doi:10.1111/j.1420-9101.2009.01783.x.
- Barardo D, Thornton D, Thoppil H, et al. The DrugAge database of aging-related drugs. Aging Cell. 2017;16:594–597. doi:10.1111/acel.12585.