New analytical tool decodes undreamt of genomic complexity 

04 Feb,2026

New analytical tool decodes undreamt of genomic complexity 

A new computational tool developed at the Australian Regenerative Medicine Institute has enhanced our ability to decode the complexity of our genomes.

The tool, called SNITCH, was developed by Dr Robin Grolaux and published today in the journal Genome Biology. Its analytical power targets DNA methylation, a process that regulates how genes are switched on and off over time.  

“Our genome is overlaid with a pattern of information that is encoded by adding and removing methyl groups to the DNA molecule,” Dr Grolaux said. “Because the DNA sequence remains the same, the impacts are referred to as ‘epigenetic’ rather than genetic.” 

SNITCH was designed to use DNA methylation data to compare differences across a population that shows variability in a trait or characteristic of interest.  

To illustrate this new capability, Dr Grolaux used SNITCH to examine ageing.  

“Methylation is well known to decline as we age,” Dr Grolaux said. “In fact, methylation provides one of the most accurate ways of determining someone’s age. But the ageing experience doesn’t happen in a smooth, predictable way across populations — something more has to be happening at the genome level that we are missing.”  

By using SNITCH, Dr Grolaux caught sight of something new. He detected sudden changes in methylation at specific ages, resembling abrupt reprogramming events.  

By switching between epigenetic and genetic information layers within SNITCH, the clusters of genes affected by the re-programming were identified. 

“These findings are preliminary and need further validation,” Dr Grolaux said. “Nonetheless, interesting associations were detected. For example, we could see methylation clusters involved in inflammation, cancer and developmental pathways.”  

Dr Robin Grolaux.

Many of these methylation changes were found on DNA sequences that help control how genes are switched on and off. 

The early findings also detected differences between males and females that appear to align with the ​​lived experience of ageing. For example: the shorter life span of men and women’s tendency to greater fraility in extreme old age. The situation for transgender people has yet to be examined. 

“The identification of critical windows of sharp changes in methylation offers interesting therapeutic opportunities,” Dr Grolaux said. “If those results are confirmed, we could intervene before those changes occur and redirect the person’s ageing trajectory.” 

SNITCH (which stands for Semi-supervised Nonlinear Identification and Trajectory Clustering for High-dimensional data) is now available on an open access basis. It can be accessed at https://github.com/fishrscale/SNITCH

This work was supported by funding from Wallonia Brussels International, the National Health and Medical Council of Australia, Hevolution/American Federation for Ageing Research and the Australian Research Council. 

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