Cancer is largely caused by a number of abnormal genome changes; it is seldom caused by a single mutation. In an aid to detect cancer cells before they are activated, researchers at the University of California San Diego School of Medicine and the Broad Institute have developed an algorithm that identifies groups of genetic variations.

“This computational analysis method effectively uncovers the functional context of genomic alterations, such as gene mutations, amplifications, or deletions, that drive tumor formation,” said senior author Pablo Tamayo, PhD, professor and co-director of the UC San Diego Moores Cancer Center Genomics and Computational Biology Shared Resource, in an interview with Science Daily.

Source: Science Daily