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GenoDup Pipeline: a tool to detect genome duplication using the dS-based method
https://oist.repo.nii.ac.jp/records/994
https://oist.repo.nii.ac.jp/records/9949675b2e5-37dd-435d-b3ee-c75f67ee508d
名前 / ファイル | ライセンス | アクション |
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Mao-2019-GenoDup Pipeline_ a tool to detect ge (3.5 MB)
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Creative Commons
Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/) |
Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2019-07-05 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | GenoDup Pipeline: a tool to detect genome duplication using the dS-based method | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
著者(英) |
Mao, Yafei
× Mao, Yafei |
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書誌情報 |
en : PeerJ 巻 7, p. e6303, 発行日 2019-01-23 |
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抄録 | ||||||
内容記述タイプ | Other | |||||
内容記述 | Understanding whole genome duplication (WGD), or polyploidy, is fundamental to investigating the origin and diversification of organisms in evolutionary biology. The wealth of genomic data generated by next generation sequencing (NGS) has resulted in an urgent need for handy and accurate tools to detect WGD. Here, I present a useful and user-friendly pipeline called GenoDup for inferring WGD using the dS-based method. I have successfully applied GenoDup to identify WGD in empirical data from both plants and animals. The GenoDup Pipeline provides a reliable and useful tool to infer WGD from NGS data. | |||||
出版者 | ||||||
出版者 | PeerJ | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 2167-8359 | |||||
PubMed番号 | ||||||
関連タイプ | isIdenticalTo | |||||
識別子タイプ | PMID | |||||
関連識別子 | info:pmid/30697488 | |||||
DOI | ||||||
関連タイプ | isIdenticalTo | |||||
識別子タイプ | DOI | |||||
関連識別子 | info:doi/10.7717/peerj.6303 | |||||
権利 | ||||||
権利情報 | © 2019 Mao. | |||||
情報源 | ||||||
関連名称 | https://creativecommons.org/licenses/by/4.0/ | |||||
関連サイト | ||||||
識別子タイプ | URI | |||||
関連識別子 | https://peerj.com/articles/6303/ | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 |