Deep-learning model decodes the regulatory effects of DNA changes ...

Artificial intelligence has gotten a bad reputation lately, and often for good reason. But a team of scientists at Google’s ...

DeepMind’s AlphaGenome AI model could help solve the problem of predicting how variations in noncoding DNA shape gene ...

Once disregarded as “junk DNA,” scientists now know that this molecular dark matter is crucial for determining gene activity ...

Google's DeepMind has developed an AI that can read and comprehend a million DNA letters simultaneously, offering unprecedented insights into our genome.

IPA, a non-coding RNA from the CUL1 gene that stabilizes the nucleolus and supports ribosome production. Removing it ...

For decades, biologists have known that the instructions for life are written in DNA, yet the vast majority of those letters seemed to sit in the dark, doing little that was obvious. Now a new ...

A research team led by Zhiping Weng, PhD, and Jill Moore, PhD’18, at UMass Chan Medical School, has nearly tripled the known number of potential regulatory elements in the genome to 2.37 million, ...

In a recent study, researchers at the Texas A&M University Health Science Center (Texas A&M Health) identify a novel RNA ...

Model predicts effect of mutations on sequences up to 1 million base pairs in length and is adept at tackling complex ...