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CRISPR-Cas9 is a powerful genome editing technology in which a single guide RNA (sgRNA) confers target site specificity to achieve Cas9-mediated genome editing. Numerous sgRNA design tools have been developed based on reference genomes for humans and model organisms. However, existing resources are not optimal as genetic mutations or single nucleotide polymorphisms (SNPs) within the targeting region affect the efficiency of CRISPR-based approaches by interfering with guide-target complementarity. To facilitate identification of sgRNAs (1) in non-reference genomes, (2) across varying genetic backgrounds, or (3) for specific targeting of SNP-containing alleles, for example, disease relevant mutations, we developed a web tool, SNP-CRISPR (https://www.flyrnai.org/tools/snp_crispr/). SNP-CRISPR can be used to design sgRNAs based on public variant data sets or user-identified variants. In addition, the tool computes efficiency and specificity scores for sgRNA designs targeting both the variant and the reference. Moreover, SNP-CRISPR provides the option to upload multiple SNPs and target single or multiple nearby base changes simultaneously with a single sgRNA design. Given these capabilities, SNP-CRISPR has a wide range of potential research applications in model systems and for design of sgRNAs for disease-associated variant correction.

Single next-generation sequencing (NGS) proved to be an important tool for monitoring the SARS-CoV-2 outbreak at the global level Until today, thousands of SARS-CoV-2 genome sequences have been published at GISAID (Global Initiative on Sharing All Influenza Data) but only a portion are suitable for reliable variant analysis. Here we report on the comparison of three commercially available NGS library preparation kits. We discuss advantages and limitations from the perspective of required input sample quality and data quality for advanced SARS-CoV-2 genome analysis.

Single next-generation sequencing (NGS) proved to be an important tool for monitoring the SARS-CoV-2 outbreak at the global level Until today, thousands of SARS-CoV-2 genome sequences have been published at GISAID (Global Initiative on Sharing All Influenza Data) but only a portion are suitable for reliable variant analysis. Here we report on the comparison of three commercially available NGS library preparation kits. We discuss advantages and limitations from the perspective of required input sample quality and data quality for advanced SARS-CoV-2 genome analysis. [ABSTRACT FROM AUTHOR]

CRISPR-Cas9 is a powerful genome editing technology in which a single guide RNA (sgRNA) confers target site specificity to achieve Cas9-mediated genome editing. Numerous sgRNA design tools have been developed based on reference genomes for humans and model organisms. However, existing resources are not optimal as genetic mutations or single nucleotide polymorphisms (SNPs) within the targeting region affect the efficiency of CRISPR-based approaches by interfering with guide-target complementarity. To facilitate identification of sgRNAs (1) in non-reference genomes, (2) across varying genetic backgrounds, or (3) for specific targeting of SNP-containing alleles, for example, disease relevant mutations, we developed a web tool, SNP-CRISPR (https://www.flyrnai.org/tools/snp_crispr/). SNP-CRISPR can be used to design sgRNAs based on public variant data sets or user-identified variants. In addition, the tool computes efficiency and specificity scores for sgRNA designs targeting both the variant and the reference. Moreover, SNP-CRISPR provides the option to upload multiple SNPs and target single or multiple nearby base changes simultaneously with a single sgRNA design. Given these capabilities, SNP-CRISPR has a wide range of potential research applications in model systems and for design of sgRNAs for disease-associated variant correction., (Copyright © 2020 Chen et al.)