Tested on large tumor genomics database, REVEALER method allows researchers to connect genomics to cell function —
Cancer is rarely the result of a single mutation in a single gene. Rather, tumors arise from the complex interplay between any number of mutually exclusive abnormal changes in the genome, the combinations of which can be unique to each individual patient. To better characterize the functional context of genomic variations in cancer, researchers at University of California San Diego School of Medicine and the Broad Institute developed a new computer algorithm they call REVEALER. … Read the Full Story from the UC San Diego Newsroom
Co-senior authors on the REVEALER study report are Jill P. Mesirov, PhD, and Pablo Tamayo, PhD. Dr. Mesirov is Professor of Medicine in the Division of Medical Genetics and Associate Vice Chancellor for Computational Health Sciences at UC San Diego School of Medicine.
Dr. Tamayo is Professor of Medicine in the Division of Medical Genetics and Co-Director of the UC San Diego Moores Cancer Center Genomics and Computational Biology Shared Resource.