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 ...

Proteogenomics explores how genetic information translates into protein expression and function, and the role of changes across DNA, RNA, and proteins in influencing disease development and ...

Medical imaging has long faced a stubborn trade-off: the filters and algorithms that clean noise out of a computed tomography ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...

Scientists have developed an advanced computational tool that helps identify previously invisible genetic mutations in proteins. The tool will help scientists understand how changes in our DNA affect ...

In 2001, researchers developed a formula, or algorithm, that predicts whether a specific change in a gene sequence can result in harmful effects. While useful, the algorithm was slow; the computations ...

Among the forms of monogenic macular degeneration, the most common is Stargardt disease. This disease is caused by mutations in the ATP-binding cassette transporter alpha 4 subunit (ABCA4) gene, ...