SNP-CRISPR
SNP-CRISPR designs single guide RNAs (sgRNAs) that specifically target single nucleotide polymorphisms (SNPs) for CRISPR/Cas9-mediated genome editing, optimizing guide-target complementarity in the presence of variant alleles.
Key Features:
- Targeted SNP Design: Designs sgRNAs that specifically target SNP-containing alleles, including disease-relevant mutations.
- Non-Reference Genome Compatibility: Identifies and designs sgRNAs in non-reference genomes to accommodate genetic diversity across organisms and populations.
- Efficiency and Specificity Scoring: Computes efficiency and specificity scores for each sgRNA design to assess predicted performance and minimize off-target effects.
- Multi-SNP Targeting: Supports uploading multiple SNPs and designing single sgRNAs that target single or multiple nearby base changes simultaneously.
- Public Variant Data Integration: Accepts public variant datasets or user-provided variants for incorporation into sgRNA design.
Scientific Applications:
- Model organism research: Designs sgRNAs for Fly, Human, Mouse, Zebrafish, and Rat genomic variants.
- Functional genomics: Enables targeting of specific SNPs to study the effects of genetic variants on phenotype and gene function.
- Disease-variant editing: Supports design of guides for correction of disease-associated or pathogenic variants.
- Genome engineering workflows: Facilitates applications ranging from knock-out experiments to precise gene editing tasks aimed at correcting mutations.
Methodology:
Evaluates sgRNA designs using algorithms that compare variant and reference sequences and computes efficiency and specificity scores for each guide.
Topics
Details
- License:
- MIT
- Programming Languages:
- Shell, Perl, Python
- Added:
- 1/14/2020
- Last Updated:
- 12/21/2020
Operations
Publications
Chen C, Rodiger J, Chung V, Viswanatha R, Mohr SE, Hu Y, Perrimon N. SNP-CRISPR: A Web Tool for SNP-Specific Genome Editing. G3 Genes|Genomes|Genetics. 2020;10(2):489-494. doi:10.1534/g3.119.400904. PMID:31822517. PMCID:PMC7003079.
PMID: 31822517