New computational tool improves gene identification

Looking to improve the identification of genes associates with disease, a team led by researchers at Baylor College of Medicine has developed a new bioinformatics tool that analyzes CRISPR pooled screen data and identifies candidates for potentially relevant genes with greater sensitivity and accuracy than other existing methods.
Source: EurekaAlert,