Cas-analyzer: an online tool for assessing genome editing results using NGS data

By Jeongbin Park, Kayeong Lim, Jin-Soo Kim, Sangsu Bae. Bioinform., 2016

386 citations recorded by the source corpus.

Abstract Summary Genome editing with programmable nucleases has been widely adopted in research and medicine. Next generation sequencing (NGS) platforms are now widely used for measuring the frequencies of mutations induced by CRISPR-Cas9 and other programmable nucleases. Here, we present an online tool, Cas-Analyzer, a JavaScript-based implementation for NGS data analysis. Because Cas-Analyzer is completely used at a client-side web browser on-the-fly, there is no need to upload very large NGS datasets to a server, a time-consuming step in genome editing analysis. Currently, Cas-Analyzer supports various programmable nucleases, including single nucleases and paired nucleases. Availability and Implementation Free access at http://www.rgenome.net/cas-analyzer/. Supplementary information Supplementary data are available at Bioinformatics online.

Subfields: Genetics, Management of Technology and Innovation, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/fd96e2e27153d6ce38bc1eb8b39522ee9c1e025e

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In Molecular Biology

1. Sojung Kim
2. Jin-Soo Kim
3. Jennifer A. Doudna

Citations in the corpus

• Rescue of high-specificity Cas9 variants using sgRNAs with matched 5’ nucleotides (2017, positive): “Indel frequencies were obtained using CasAnalyzer [17].”