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Machine learning and Darwin combined to piece together tumour genetics

MOBSTER – model-based clustering in cancer, is a machine learning tool that incorporates theoretical population genetics from Darwin to examine […]

Gut microbiota predicts Crohn’s disease state

Researchers have revealed the potential usage of cytometric fingerprints of gut microbiota as a diagnostic tool to predict Crohn’s disease […]

TWAS: Transcriptome-wide association study

A recent trend in large-scale association studies is transcriptome-wide association study (TWAS), which aggregates genomic information into functionally relevant units […]

Deep learning in melanoma mutational screening

A recent study has explored the role of deep learning as a tool for rapid mutational screening in melanoma. Detecting […]

Levels of cf-DNA predict all-cause mortality

A recent study published in Scientific Reports has observed the role of circulating cell-free DNA (cf-DNA) as a viable marker […]

How will genetic technologies change reproductive decision-making?

An article published in the European Journal of Human Genetics has explored views on how new genetic technologies may change […]

An impact study on the rare disease community: a call to action

Jo Balfour, one of the founding members and current Operations Manager at Cambridge Rare Disease Network (CRDN), has collaborated with […]

Genetics Unzipped podcast: Sickness and susceptibility – the ancient war between genes and disease

Geneticist Dr Kat Arney takes a look at the ancient war between our genes and the pathogens that infect us, […]

Biologically-validated AI is how scientists are realising the full potential of single-cell RNA sequencing

The promise of single-cell gene expression data Genomic data are an excellent source of novel disease biomarkers and targets. In […]

A major cause of rare mitochondrial disease found

A study from the Murdoch Children’s Research Institute (MCRI) has found a genetic cause for a rare disease that causes […]