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Cho, Seung Woo
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CRISPRpic: fast and precise analysis for CRISPR-induced mutations via prefixed index counting

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Title
CRISPRpic: fast and precise analysis for CRISPR-induced mutations via prefixed index counting
Author
Lee, HoJoonChang, Howard YCho, Seung WooJi, Hanlee P
Issue Date
2020-02
Publisher
Oxford University Press
Citation
NAR Genomics and Bioinformatics, v.2, no.2
Abstract
Analysis of CRISPR-induced mutations at targeted locus can be achieved by polymerase chain reaction amplification followed by parallel massive sequencing. We developed a novel algorithm, named as CRISPRpic, to analyze the sequencing reads for the CRISPR experiments via counting exact-matching and pattern-searching. Compare to the other methods based on sequence alignment, CRISPRpic provides precise mutation calling and ultrafast analysis of the sequencing results. Python script of CRISPRpic is available at
URI
https://scholarworks.unist.ac.kr/handle/201301/47269
URL
https://academic.oup.com/nargab/article/2/2/lqaa012/5742261
DOI
10.1093/nargab/lqaa012
ISSN
2631-9268
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BME_Journal Papers
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