crisprseekplus

crisprseekplus designs and ranks CRISPR-Cas9 guide RNAs (gRNAs) to optimize on-target efficiency and minimize off-target cleavage.

Key Features:

• Flexible gRNA Design: Identifies candidate gRNAs targeting specific sequences across diverse CRISPR-Cas9 systems derived from different bacterial species and supports adjustable design parameters.
• Off-Target Cleavage Minimization: Generates cleavage scores for potential off-target sites using published or user-supplied weight matrices with position-specific mismatch penalty scores.
• Enhanced Specificity Filters: Filters gRNAs by paired orientations and identifies gRNAs overlapping restriction enzyme sites.
• Discrimination Between Related Sequences: Ranks gRNAs by predicted differences in cleavage scores across input sequences to discriminate closely related targets.
• Integration with Bioconductor: Implemented as a Bioconductor package in the R environment to enable integration into computational pipelines and genome-wide analyses.

Scientific Applications:

• Gene editing: Designs gRNAs for precise CRISPR-Cas9 gene editing experiments.
• Functional genomics: Supports functional genomics experiments through targeted perturbation and screening using ranked gRNAs.
• Therapeutic development: Aids selection of gRNAs with minimized off-target risk for therapeutic genome-editing development.
• Comparative genomics: Enables differentiation of closely related sequences in comparative genomic studies by ranking gRNAs based on cleavage score differences.
• Genome-wide analyses: Integrates into genome-wide analyses for automated gRNA design from large-scale sequence datasets.

Methodology:

Evaluates candidate gRNAs with computational algorithms that assess targeting efficiency and specificity, computes cleavage scores using published or user-supplied weight matrices with position-specific mismatch penalty scores, and is implemented within Bioconductor in R.