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 ...

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

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 ...

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

Genetic disorders can occur due to mutations in one gene (monogenic), multiple genes (multifactorial inheritance), and mutation in one or more chromosomes. Point mutations are where one nucleotide in ...