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Bioinformatics. 2017 Jan 15;33(2):286-288. doi: 10.1093/bioinformatics/btw561. Epub 2016 Aug 24.

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

Park J1, Lim K2,3, Kim JS2,3, Bae S1,4.

Author information

1
Department of Chemistry, Hanyang University, Seoul, South Korea.
2
Center for Genome Engineering, Institute for Basic Science, Seoul, South Korea.
3
Department of Chemistry, Seoul National University, Seoul, South Korea and.
4
Research Institute for Convergence of Basic Sciences, Hanyang University, Seoul, South Korea.

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.

AVAILABILITY AND IMPLEMENTATION:

Free access at http://www.rgenome.net/cas-analyzer/ CONTACT: sangsubae@hanyang.ac.kr or jskim01@snu.ac.krSupplementary information: Supplementary data are available at Bioinformatics online.

PMID:
27559154
PMCID:
PMC5254075
DOI:
10.1093/bioinformatics/btw561
[Indexed for MEDLINE]
Free PMC Article

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