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

Cited 254 time in Web of Science Cited 263 time in Scopus
Authors

Park, Jeongbin; Lim, Kayeong; Kim, Jin-Soo; Bae, Sangsu

Issue Date
2017-01
Publisher
Oxford University Press
Citation
Bioinformatics, Vol.33 No.2, pp.286-288
Abstract
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.
ISSN
1367-4803
URI
https://hdl.handle.net/10371/165686
DOI
https://doi.org/10.1093/bioinformatics/btw561
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  • College of Natural Sciences
  • Department of Chemistry
Research Area Biology and Biochemistry

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