GENeuver uses multiple machine learning methods to help researchers in identifying genetic variations that are associated with physiological implication. We employ multiple algorithms defined based on patterns identified in public genomic datasets and mapped these patterns to reported phenotypic in various population and patient groups.Our algorithms also allow researchers to narrow down choices of target sequences with predictable outcomes. We believe our approach significantly reduce the time, cost and effort necessary for gene editing using CRISPR.