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 ...
Scientists at The University of Texas at Austin have developed a revolutionary gene-editing method using bacterial retrons that can correct multiple disease-causing mutations at once. Unlike ...
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, ...
UCLA Health researchers have created a comprehensive map showing how eight different genetic mutations associated with autism spectrum disorder affect early brain development, providing new insights ...
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