Elin Madli Peets

This paper develops a pooled paired prime editing screen to generate large-scale deletions across the genome, identifying non-coding regions with fitness effects and demonstrating the feasibility of genome-wide deletion perturbation.

This paper develops a CRISPR-based method to generate large-scale structural genomic rearrangements in human cells, revealing selection pressures and gene expression impacts of these changes.

The paper uses enhancer scrambling to study a super-enhancer of the OTX2 gene, finding that a single DNase I hypersensitive site predominantly controls its expression.

The paper presents a genome-scale CRISPRi perturbation map in human pluripotent stem cells using single-cell RNA sequencing to study trans gene regulation across diverse genetic backgrounds.

The paper investigates how DNA repair genes influence Cas9-induced mutations by analyzing mutational outcomes across 2,838 synthetic targets in mouse cells, revealing gene-specific roles and improving predictive models.

This paper identifies position-specific sequence determinants of base editing efficiency and develops a machine learning model to predict editing outcomes for adenine and cytosine editors.

The paper predicts insertion efficiency of short sequences into the genome using prime editing by analyzing sequence features and developing a machine learning model.

This paper introduces a minimized double guide RNA library for CRISPR/Cas9 screens, reducing scale by fivefold while maintaining performance.