WGE

WGE identifies and evaluates CRISPR-Cas9 target sites and pre-calculated off-targets within mouse and human exomes to support CRISPR target selection and gene targeting vector design.

Key Features:

• CRISPR site identification: Identifies single and paired CRISPR target sites across genomes, with explicit coverage of mouse and human exomes.
• Off-target analysis: Provides pre-calculated off-target information for assessing potential unintended editing events.
• Scoring and filtering: Applies scoring systems and filtering options to rank and select high-quality CRISPR sites.
• Gene targeting vector design: Generates designs for gene targeting vectors corresponding to selected CRISPR sites.
• Genomic contextualization: Integrates genomic data layers such as gene models, protein translations, and variation tracks to contextualize target sites.
• Extensibility: Enables computation of CRISPR sites for arbitrary genomes of interest.

Scientific Applications:

• Genetic engineering: Enables selection of CRISPR-Cas9 sites and design of gene targeting vectors for genome modification experiments.
• Functional genomics: Supports targeted perturbations to investigate gene function using context from gene models, protein translations, and variation tracks.
• Therapeutic development: Facilitates assessment of off-target effects and selection of high-quality targets to inform disease model generation and potential gene therapy strategies.

Methodology:

Computational identification of single and paired CRISPR target sites, calculation of pre-computed off-target predictions, application of scoring and filtering algorithms to rank sites, design generation for gene targeting vectors, and integration of gene models, protein translations, and variation tracks for mouse and human exomes and other genomes.