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

Authors
Park, JeongbinLim, KayeongKim, Jin-SooBae, Sangsu
Issue Date
Jan-2017
Publisher
Oxford University Press
Citation
Bioinformatics, v.33, no.2, pp 286 - 288
Pages
3
Indexed
SCI
SCIE
SCOPUS
Journal Title
Bioinformatics
Volume
33
Number
2
Start Page
286
End Page
288
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/194172
DOI
10.1093/bioinformatics/btw561
ISSN
1367-4803
1367-4811
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.
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