Computational software provides rapid identification of disease-causing gene variations
Thursday, June 23, 2011 - 12:30
in Mathematics & Economics
Scientists from the University of Utah and Omicia, Inc., a privately held company developing tools to interpret personal genome sequences, today announced the publication in Genome Research of a new software tool called VAAST, the Variant Annotation, Analysis and Selection Tool, a probabilistic disease-causing mutation finder for individual human genomes.
