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 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 ...

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 ...

Artificial intelligence is rapidly becoming medicine’s most powerful microscope, revealing patterns in human DNA that were ...

A graph-based computational tool for detecting previously invisible genetic mutations has been developed. Researchers at the University of California, Los Angeles (UCLA; USA) and the University 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 ...