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 ...

Using data to identify the genetic changes that cause healthy cells to become malignant can help doctors select therapies that specifically target the tumor. Most of the roughly 40 trillion cells of ...

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 ...

“Viral escape is a big problem,” said Bonnie Berger, PhD, the Simons Professor of Mathematics and head of the Computation and Biology group at the Massachusetts Institute of Technology (MIT) Computer ...

Galileo once observed that nature is written in math. Biology might be written in words. Natural-language processing (NLP) algorithms are now able to generate protein sequences and predict virus ...