Fiona M. Behan

The paper provides a dataset and R package to benchmark CRISPR-Cas9 screening pipelines using HT-29 cells and a commercial guide RNA library.

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

This study integrates drug sensitivity data with CRISPR screens to identify drug mechanisms and biomarkers for cancer therapy.

JACKS improves hit identification in CRISPR/Cas9 screens by jointly analyzing data from the same guide RNA library, reducing required cell numbers by 2.5-fold.

The paper shows that targeting tandem amplified regions in CRISPR-Cas9 screens reduces cellular fitness, while chromosomal duplications have minimal effects.

CRISPRcleanR reduces false positives in CRISPR-Cas9 screens by correcting gene-independent responses without assuming copy number status.