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

Building things so small that they are smaller than the width of a human hair was previously achieved by using a method ...

Researchers at the California NanoSystems Institute at UCLA published a step-by-step framework for determining the ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

Euan Ashley's lab explores the intricate interactions of gene variants. Tiny "typos," or genetic mutations, can sneak into ...

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

The tool helps scientists understand how single-letter mutations and distant DNA regions influence gene activity, shaping ...

AlphaGenome is a leap forward in the ability to study the human blueprint. But the fine workings of our DNA are still largely ...

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

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

The Kennedy College of Science, Richard A. Miner School of Computer & Information Sciences, invites you to attend a doctoral dissertation proposal defense by Nidhi Vakil, titled: "Foundations for ...

This story is part of an AI series looking at how WSU is driving innovation in research and teaching through artificial intelligence. View the entire series as it becomes available. In the ...