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Genomic landscape of how cancer cells evade the immune system

Researchers from Donnelly Centre for Cellular and Biomolecular Research at the University of Toronto, have mapped the genes that allow […]

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 […]

Researchers unravel the role of G-quadruplexes in breast cancer

A team of researchers from the University of Cambridge have unravelled the complex landscape of G-quadruplexes and revealed their role […]

Researchers have characterised and analysed the unique architecture of the largest and most complex CRISPR-Cas system known to date

Researchers at the University of Copenhagen (UCPH) have characterised and analysed the unique architecture of one of the most complex […]

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 […]

Base editing outcomes predicted by machine learning model

Single nucleotide variants (SNVs) are implicated in about half of all genetic diseases and so, accurately targeting and editing these […]

Deep learning in genomics – are we there yet?

As genomic sequencing becomes more routine, handling the sheer volume of data being produced is causing major issues. We must […]

Synthetic biology in the fight against COVID-19

On Thursday 18th June at 4pm BST/ 11am EST, Front Line Genomics is bringing you an interactive discussion from global […]

FoG Presentation 2020 Dennis Wang, University of Sheffield: Looking beyond the hype: Applied AI and machine learning in translational medicine

Dennis graduated from the University of British Columbia (Vancouver, Canada) with a BSc in Computer Science, Microbiology and Immunology. He […]