WheatCRISPR

WheatCRISPR predicts and annotates CRISPR/SpCas9 (Streptococcus pyogenes Cas9) guide RNAs in the wheat genome to support design of highly specific gRNAs and assessment of off-target potential.

Key Features:

• gRNA database: An extensive catalog of gRNAs mapped across the wheat genome annotated with Doench scores predicting on-target activity and off-target risk.
• SpCas9 activity prediction: Algorithms developed from large-scale empirical data to predict SpCas9 on-target activity and off-target potential.
• Genome-wide mapping: Comprehensive mapping of potential gRNA sites across the wheat genome.
• Filterable selection criteria: Ability to filter gRNAs by Doench scores and by position within the targeted gene.

Scientific Applications:

• CRISPR/Cas9 genome editing: Selection of highly specific gRNAs for precise genetic modifications in wheat.
• Transcriptional regulation: Design of gRNAs for CRISPR-based transcriptional regulation of gene expression in wheat.
• Off-target assessment: Prediction and minimization of unintended genomic alterations during wheat genome editing experiments.

Methodology:

Applied prediction models from Doe et al. (2016) in Nature Biotechnology that calculate Doench scores to assess on-target and off-target activities, applied these models across the wheat genome to map potential gRNA sites, and compiled the resulting data into a comprehensive gRNA database using algorithms trained on large-scale empirical data.