dc.citation.number |
2 |
- |
dc.citation.title |
NAR Genomics and Bioinformatics |
- |
dc.citation.volume |
2 |
- |
dc.contributor.author |
Lee, HoJoon |
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dc.contributor.author |
Chang, Howard Y |
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dc.contributor.author |
Cho, Seung Woo |
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dc.contributor.author |
Ji, Hanlee P |
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dc.date.accessioned |
2023-12-21T18:06:36Z |
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dc.date.available |
2023-12-21T18:06:36Z |
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dc.date.created |
2020-07-27 |
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dc.date.issued |
2020-02 |
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dc.description.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 |
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dc.identifier.bibliographicCitation |
NAR Genomics and Bioinformatics, v.2, no.2 |
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dc.identifier.doi |
10.1093/nargab/lqaa012 |
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dc.identifier.issn |
2631-9268 |
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dc.identifier.scopusid |
2-s2.0-85100007165 |
- |
dc.identifier.uri |
https://scholarworks.unist.ac.kr/handle/201301/47269 |
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dc.identifier.url |
https://academic.oup.com/nargab/article/2/2/lqaa012/5742261 |
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dc.language |
영어 |
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dc.publisher |
Oxford University Press |
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dc.title |
CRISPRpic: fast and precise analysis for CRISPR-induced mutations via prefixed index counting |
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dc.type |
Article |
- |
dc.description.isOpenAccess |
TRUE |
- |
dc.type.docType |
Article |
- |
dc.description.journalRegisteredClass |
scopus |
- |
dc.description.journalRegisteredClass |
foreign |
- |