WU-CRISPR

WU-CRISPR predicts optimal single guide RNAs (sgRNAs) for the CRISPR/Cas9 genome editing system by identifying features that correlate with sgRNA potency and specificity.

Key Features:

• Data-driven feature discovery: Developed through extensive analysis of CRISPR RNA-seq data that identified novel features correlating with sgRNA potency.
• Feature-based scoring algorithms: Implements algorithms that leverage discovered features to evaluate and rank sgRNA candidates.
• Efficiency and specificity optimization: Prioritizes sgRNAs predicted to have enhanced on-target efficiency and reduced off-target activity.
• Genome-wide design capability: Supports design and evaluation of sgRNAs across entire genomes to target diverse genomic loci.

Scientific Applications:

• Functional Genomics: Enables targeted gene knockouts and perturbations to assess gene function and genetic interactions.
• Disease Modeling: Facilitates generation of precise genetic variants and models for studying disease-associated genes.
• Therapeutic Development: Supports selection of candidate sgRNAs for CRISPR-based therapeutic research by improving predicted efficacy and specificity.

Methodology:

Extensive analysis of CRISPR RNA-seq data to identify novel features correlated with sgRNA potency, and algorithms that use these features to score and design sgRNAs.