A new artificial intelligence model developed by USC researchers and published in Nature Methods can predict how different proteins may bind to DNA with accuracy across different types of protein, a ...

Researchers at The University of Texas MD Anderson Cancer Center have performed a comprehensive evaluation of five artificial intelligence (AI) models trained on genomic sequences, known as DNA ...

With GROVER, a new large language model trained on human DNA, researchers could now attempt to decode the complex information hidden in our genome. GROVER treats human DNA as a text, learning its ...

Researchers at the Hebrew University have developed an exceptionally accurate method for predicting chronological age from DNA, based on two short genomic regions. Using deep learning networks ...

In a recent study published in the journal Science Advances, a group of researchers investigated the role of histone modifications in human aging by developing and evaluating histone-specific age ...

PacBio has announced plans to enhance its methylation detection capabilities in HiFi sequencing by licensing advanced methods from Professor Dennis Lo and his team at The Chinese University of Hong ...

Matthew Hayes (Left) is the Chief Technology Officer and founder at Evonetix, a groundbreaking gene synthesis technology company created in 2015, where he deploys his expertise in multi-disciplinary ...