Scientists have developed a new algorithm that can predict how a protein could evolve to become highly effective or totally unproductive.

With just a photo of a face, this algorithm can do more than spot a possible genetic condition — it can suggest which gene mutation is behind it.

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 ...

A team of scientists has developed an algorithm that can accurately pinpoint, in large regions of the human genome, mutations favored by natural selection. The finding provides deeper insight into ...

Using a computational algorithm, researchers at Children's Hospital of Philadelphia analyzed noncoding genetic mutations to discover how they factor into 5 pediatric cancers.

The researchers created the algorithm by testing the effects of specific mutations occurring in the genes that make streptococcal GB1 protein.

Genetic algorithms borrow their name and principles from biological evolution, but can they help researchers discover the fundamentals of life? Evolution is one of the most widely known theories in ...

A team of scientists has developed an algorithm that can accurately pinpoint, in large regions of the human genome, mutations favored by natural selection. The finding provides deeper insight into ...

Most significantly, all of these identified mutations were not picked up by the general computer algorithms most researchers use to look at the off-target effects of CRISPR-editing.

Sanford Burnham Prebys Medical Discovery Institute (SBP) has undertaken the first-ever comparative analysis of a newly emerging category of algorithms that mine genetic information in cancer ...