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 ...
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 ...
A graph-based computational tool for detecting previously invisible genetic mutations has been developed. Researchers at the University of California, Los Angeles (UCLA; USA) and the University of ...
An R75W mutation in the gap junction β2 (GJB2) gene causes severe fragmentation of gap junction plaques, connecting adjacent cells and leading to syndromic hearing loss. In a new experimental study, ...
A team of researchers led by Professor Akitsu Hotta (Department of Clinical Application) developed a comprehensive framework ...
A pathogenic BRCA result is presented as clinically actionable information that enables risk stratification, anticipatory guidance, and self-advocacy rather than determinism about cancer development.
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