A computer algorithm can efficiently find genetic mutations that work together to drive cancer as well as other important genetic clues that researchers might someday use to develop new treatments for ...

Genetic data is more readily available than ever before—but interpreting it can be a challenge. Without months of work in the laboratory, it can be tough to tell what one of the millions of ...

Scientists at UCLA and the University of Toronto have developed an advanced computational tool, called moPepGen, that helps identify previously invisible genetic mutations in proteins, unlocking new ...

In a groundbreaking study published on January 18, 2024, in Cancer Discovery, scientists at University of California San Diego School of Medicine leveraged a machine learning algorithm to tackle one ...

Lysinuric protein intolerance (LPI) is an autosomal recessive disorder caused by variants in the SLC7A7 gene, leading to impaired transport of dibasic amino acids across intestinal and renal membranes ...

Newly developed artificial intelligence (AI) programs accurately predicted the role of DNA's regulatory elements and three-dimensional (3D) structure based solely on its raw sequence, according to ...

A newly discovered genetic mutation unique to humans may help explain why we are significantly more vulnerable to cancer than our closest evolutionary relatives. Researchers at the University of ...