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 ...

Scientists at UCLA and the University of Toronto have developed an advanced computational tool, called moPepGen, that helps identify previously invisible genetic mutations in proteins, unlocking new ...

In a groundbreaking study published on January 18, 2024, in Cancer Discovery, scientists at University of California San Diego School of Medicine leveraged a machine learning algorithm to tackle one ...

A whole-genome sequencing approach shows early promise over current commercial methods for identifying more patients likely ...

Genetic data is more readily available than ever before—but interpreting it can be a challenge. Without months of work in the laboratory, it can be tough to tell what one of the millions of ...

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 ...