Inocras, a bioinformatics-led company harnessing the power of whole genome data and proprietary analytics to deliver curated ...
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 ...
An international research team led by Forschungszentrum Jülich and the IPK Leibniz Institute has developed an artificial ...
Researchers at Kyushu University have revealed how spatial distance between specific regions of DNA is linked to bursts of gene activity. Using advanced cell imaging techniques and computer modeling, ...
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 ...
A new study presents “Evo” – a machine learning model capable of decoding and designing DNA, RNA, and protein sequences, from molecular to genome scale, with unparalleled accuracy. Evo’s ability to ...
Interpreting the impact of genome sequence variation remains a central biological challenge. Non-coding variants, which reside outside of protein-coding regions, are particularly challenging to ...
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