bioRxivBioinformaticsPreprint
PathoGD: an integrative genomics approach for CRISPR-based target design of rapid pathogen diagnostics
Soo Jen LowiD, Matthew T. O’NeilliD, William J. KerryiD, Natasha L. WildiD, Marcelina Krysiak, Yi NongiD, Francesca AzzatoiD, Eileen HoriD, Lewis Williams, George TaiaroaiD, Eike J. SteinigiD, Shivani PasrichaiD, Deborah Anne WilliamsoniD
Abstract
The design of highly specific primers and guide RNAs (gRNA) for CRISPR-based diagnostics is often a laborious process. Several tools exist for gRNA design, but most are tailored for genome editing applications. Here, we present PathoGD, an end-to-end bioinformatic pipeline comprising pangenome and k-mer modules for rapid and high-throughput design of primers and gRNAs for CRISPR-Cas12a-based pathogen detection. We validated and demonstrated high specificity of a subset of PathoGD-designed primers and gRNAs for the detection of Neisseria gonorrhoeae and Streptococcus pyogenes. PathoGD will serve as an important resource for designing CRISPR-based diagnostic assays for current and emerging pathogens.
- assay: CRISPR screen
- research focus: variant calling
- research focus: software / tool
- approach: statistical model
- approach: machine learning (classical)
- Citations
- 2
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