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Cpf1-Database: web-based genome-wide guide RNA library design for gene knockout screens using CRISPR-Cpf1

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dc.contributor.authorPark, Jeongbin-
dc.contributor.authorBae, Sangsu-
dc.date.accessioned2024-12-20T07:42:36Z-
dc.date.available2024-12-20T07:42:36Z-
dc.date.issued2018-03-
dc.identifier.issn1367-4803-
dc.identifier.issn1460-2059-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/203587-
dc.description.abstractFollowing the type II CRISPR-Cas9 system, type V CRISPR-Cpf1 endonucleases have been found to be applicable for genome editing in various organisms in vivo. However, there are as yet no web-based tools capable of optimally selecting guide RNAs (gRNAs) among all possible genome-wide target sites. Here, we present Cpf1-Database, a genome-wide gRNA library design tool for LbCpf1 and AsCpf1, which have DNA recognition sequences of 5'-TTTN-3' at the 5' ends of target sites. Cpf1-Database provides a sophisticated but simple way to design gRNAs for AsCpf1 nucleases on the genome scale. One can easily access the data using a straightforward web interface, and using the powerful collections feature one can easily design gRNAs for thousands of genes in short time.-
dc.format.extent3-
dc.language영어-
dc.language.isoENG-
dc.publisherOXFORD UNIV PRESS-
dc.titleCpf1-Database: web-based genome-wide guide RNA library design for gene knockout screens using CRISPR-Cpf1-
dc.typeArticle-
dc.publisher.location영국-
dc.identifier.doi10.1093/bioinformatics/btx695-
dc.identifier.scopusid2-s2.0-85044270985-
dc.identifier.wosid000427887200035-
dc.identifier.bibliographicCitationBIOINFORMATICS, v.34, no.6, pp 1077 - 1079-
dc.citation.titleBIOINFORMATICS-
dc.citation.volume34-
dc.citation.number6-
dc.citation.startPage1077-
dc.citation.endPage1079-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClasssci-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaBiochemistry & Molecular Biology-
dc.relation.journalResearchAreaBiotechnology & Applied Microbiology-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaMathematical & Computational Biology-
dc.relation.journalResearchAreaMathematics-
dc.relation.journalWebOfScienceCategoryBiochemical Research Methods-
dc.relation.journalWebOfScienceCategoryBiotechnology & Applied Microbiology-
dc.relation.journalWebOfScienceCategoryComputer Science, Interdisciplinary Applications-
dc.relation.journalWebOfScienceCategoryMathematical & Computational Biology-
dc.relation.journalWebOfScienceCategoryStatistics & Probability-
dc.subject.keywordPlusHUMAN-CELLS-
dc.subject.keywordPlusFUNCTIONAL GENOMICS-
dc.subject.keywordPlusTARGET SITES-
dc.subject.keywordPlusCPF1-
dc.subject.keywordPlusSPECIFICITIES-
dc.subject.keywordPlusENDONUCLEASES-
dc.subject.keywordPlusNUCLEASES-
dc.subject.keywordPlusSYSTEM-
dc.identifier.urlhttps://academic.oup.com/bioinformatics/article/34/6/1077/4665414-
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