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 ...

Investigations suggest V2P may be efficiently applied for the automated identification of causal variants in simulated and actual patient sequencing data across phenotypes.

Scientists at the Icahn School of Medicine at Mount Sinai have developed a novel artificial intelligence tool that not only ...

Scientists have revealed parts of the genome that are especially vulnerable to mutations that occur very early on in development. These areas are in the initial portions of genes, where the cell tends ...