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 ...

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 ...

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 ...

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 ...

A newly identified gene mutation may help explain why schizophrenia patients struggle to update their understanding of reality. The mutation disrupts a brain circuit involved in flexible ...

Emily Kramer-Golinkoff can’t get enough oxygen with each breath. Advanced cystic fibrosis makes even simple things like walking or showering arduous and exhausting. She has the most common fatal ...