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Prokaryotic Contig Annotation Pipeline Server: Web Application for a Prokaryotic Genome Annotation Pipeline Based on the Shiny App Package

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dc.contributor.authorPark, Byeonghyeok-
dc.contributor.authorBaek, Min-Jeong-
dc.contributor.authorMin, Byoungnam-
dc.contributor.authorChoi, In-Geol-
dc.date.accessioned2021-09-03T02:17:13Z-
dc.date.available2021-09-03T02:17:13Z-
dc.date.created2021-06-16-
dc.date.issued2017-09-
dc.identifier.issn1066-5277-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/82380-
dc.description.abstractGenome annotation is a primary step in genomic research. To establish a light and portable prokaryotic genome annotation pipeline for use in individual laboratories, we developed a Shiny app package designated as "P-CAPS'' (Prokaryotic Contig Annotation Pipeline Server). The package is composed of R and Python scripts that integrate publicly available annotation programs into a server application. P-CAPS is not only a browser-based interactive application but also a distributable Shiny app package that can be installed on any personal computer. The final annotation is provided in various standard formats and is summarized in an R markdown document. Annotation can be visualized and examined with a public genome browser. A benchmark test showed that the annotation quality and completeness of P-CAPS were reliable and compatible with those of currently available public pipelines.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherMARY ANN LIEBERT, INC-
dc.subjectRNA GENES-
dc.subjectSEQUENCE-
dc.titleProkaryotic Contig Annotation Pipeline Server: Web Application for a Prokaryotic Genome Annotation Pipeline Based on the Shiny App Package-
dc.typeArticle-
dc.contributor.affiliatedAuthorChoi, In-Geol-
dc.identifier.doi10.1089/cmb.2017.0066-
dc.identifier.scopusid2-s2.0-85029381396-
dc.identifier.wosid000409838900008-
dc.identifier.bibliographicCitationJOURNAL OF COMPUTATIONAL BIOLOGY, v.24, no.9, pp.917 - 922-
dc.relation.isPartOfJOURNAL OF COMPUTATIONAL BIOLOGY-
dc.citation.titleJOURNAL OF COMPUTATIONAL BIOLOGY-
dc.citation.volume24-
dc.citation.number9-
dc.citation.startPage917-
dc.citation.endPage922-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
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.keywordPlusRNA GENES-
dc.subject.keywordPlusSEQUENCE-
dc.subject.keywordAuthorgene prediction-
dc.subject.keywordAuthormicrobial genome annotation-
dc.subject.keywordAuthorR package-
dc.subject.keywordAuthorweb application-
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