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 ...

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 ...

Proteins are like Spider-Man in the multiverse. The underlying story is the same: each building block of a protein is based on a three-letter DNA code. However, change one letter, and the same protein ...

Despite the increasing use of genomic sequencing in clinical practice, interpreting rare genetic mutations, even among well-studied disease genes, remains difficult. Current predictive models are ...