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A tool for analyzing evolutionary trees of reconciled genes and single gene

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dc.contributor.authorJung, Jaehee-
dc.contributor.authorYi, Gangman-
dc.date.accessioned2022-05-24T06:40:26Z-
dc.date.available2022-05-24T06:40:26Z-
dc.date.created2022-05-24-
dc.date.issued2018-
dc.identifier.issn2156-1125-
dc.identifier.urihttps://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/28100-
dc.description.abstractTo analyze genomic evolution based on next generation sequencing (NGS) sequencing, it is necessary to construct phylogenetic trees for single genes or for reconciled organisms using various genes. Phylogenetic trees that are constructed using the neighbor-joining or the UPGMA methods are mostly used to analyze the evolution of genes following the assembly of new genomes, and determine whether the predicted genes have evolutionary status similar to those of the model organisms. Thus, this study aimed to automatically extract genes common to the newly assembled sequences of interests and those of reference species, and show both evolutionary trees for each single gene as well as that of organisms with reconciled individual genes, thus aiding evolutionary analysis.-
dc.language영어-
dc.language.isoen-
dc.publisherIEEE-
dc.titleA tool for analyzing evolutionary trees of reconciled genes and single gene-
dc.typeArticle-
dc.contributor.affiliatedAuthorJung, Jaehee-
dc.identifier.wosid000458654000479-
dc.identifier.bibliographicCitationPROCEEDINGS 2018 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), pp.2762 - 2763-
dc.relation.isPartOfPROCEEDINGS 2018 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM)-
dc.citation.titlePROCEEDINGS 2018 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM)-
dc.citation.startPage2762-
dc.citation.endPage2763-
dc.type.rimsART-
dc.type.docTypeProceedings Paper-
dc.description.journalClass3-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaMathematical & Computational Biology-
dc.relation.journalWebOfScienceCategoryComputer Science, Interdisciplinary Applications-
dc.relation.journalWebOfScienceCategoryMathematical & Computational Biology-
dc.subject.keywordAuthorsingle gene-
dc.subject.keywordAuthorphylogenetic tree-
dc.subject.keywordAuthorevolutionary tree-
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