Alessandro Vinceti

This study benchmarks seven computational methods for correcting CN and proximity biases in CRISPR-Cas9 screens, finding AC-Chronos and CRISPRcleanR perform best in different scenarios.

CRISPRcleanRWebApp is a web tool that processes CRISPR-Cas9 viability screens to reduce false positives by correcting biases in gene targeting.

The paper develops a computational framework to create reduced gene templates for supervised analysis of scale-limited CRISPR-Cas9 screens, improving efficiency without compromising results.

CoRe identifies core-fitness genes from CRISPR-Cas9 screens, outperforming existing tools and providing more reliable results.

The paper designs a smaller genome-wide CRISPR-Cas9 library with reduced size while maintaining sensitivity and specificity, enhancing its applicability in complex models.