Manuel Tognon

CRISPR-HAWK identifies genetic variants affecting CRISPR guide performance across diverse populations, revealing that 82.5% of therapeutic guides are impacted by variants.

WaveDNA improves TFBS prediction by using wavelet transforms to convert DNA sequences into images, enabling efficient and interpretable deep learning with fewer parameters and resources.

This study benchmarks PWM and SVM-based models for TFBS prediction using synthetic and biological data, highlighting their strengths and limitations under different conditions.

This paper improves variant effect quantification in base editing screens by integrating genotypic and phenotypic data using a Bayesian network called BEAN.

The paper develops CRISPRme, a tool that integrates genetic diversity data to assess off-target risks of gene editing, finding allele-specific off-target effects in clinical gRNAs.

GRAFIMO scans transcription factor binding sites in pangenome variation graphs, identifying variant-specific binding events that are missed or altered in reference genomes.

The paper proposes a multi-view workflow for integrating imaging and genetic data in Parkinson's Disease to identify potential genetic biomarkers.