ログイン 新規登録
言語:

WEKO3

  • トップ
  • ランキング
To
lat lon distance
To

Field does not validate



インデックスリンク

インデックスツリー

メールアドレスを入力してください。

WEKO

One fine body…

WEKO

One fine body…

アイテム

  1. 研究報告
  2. バイオ情報学(BIO)
  3. 2024
  4. 2024-BIO-79

AUTOEB: A software for systematically evaluating bipartitions in a phylogenetic tree employing an approximately unbiased test

https://ipsj.ixsq.nii.ac.jp/records/238565
https://ipsj.ixsq.nii.ac.jp/records/238565
ab49b90f-3829-40fd-9242-a2ce8ff69bcf
名前 / ファイル ライセンス アクション
IPSJ-BIO24079001.pdf IPSJ-BIO24079001.pdf (1.2 MB)
 2026年8月30日からダウンロード可能です。
Copyright (c) 2024 by the Information Processing Society of Japan
非会員:¥660, IPSJ:学会員:¥330, BIO:会員:¥0, DLIB:会員:¥0
Item type SIG Technical Reports(1)
公開日 2024-08-30
タイトル
タイトル AUTOEB: A software for systematically evaluating bipartitions in a phylogenetic tree employing an approximately unbiased test
タイトル
言語 en
タイトル AUTOEB: A software for systematically evaluating bipartitions in a phylogenetic tree employing an approximately unbiased test
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_18gh
資源タイプ technical report
著者所属
Graduate School of Science and Technology, University of Tsukuba
著者所属
Faculty of Medicine, Dalhousie University
著者所属
Graduate School of Science and Technology, University of Tsukuba/Center for Computational Sciences, University of Tsukuba
著者所属(英)
en
Graduate School of Science and Technology, University of Tsukuba
著者所属(英)
en
Faculty of Medicine, Dalhousie University
著者所属(英)
en
Graduate School of Science and Technology, University of Tsukuba / Center for Computational Sciences, University of Tsukuba
著者名 Kohei, Bamba

× Kohei, Bamba

Kohei, Bamba

Search repository
Ryo, Harada

× Ryo, Harada

Ryo, Harada

Search repository
Yuji, Inagaki

× Yuji, Inagaki

Yuji, Inagaki

Search repository
著者名(英) Kohei, Bamba

× Kohei, Bamba

en Kohei, Bamba

Search repository
Ryo, Harada

× Ryo, Harada

en Ryo, Harada

Search repository
Yuji, Inagaki

× Yuji, Inagaki

en Yuji, Inagaki

Search repository
論文抄録
内容記述タイプ Other
内容記述 Both inference of a tree diagram and evaluating the credibility of the inferred tree are indispensable in molecular phylogeny. To evaluate the credibility of bipartitions in a phylogenetic tree in the maximum-likelihood framework, bootstrap, UFBoot2, and SH-aLRT are available. In this study, we propose a new software ”AUTOEB,” which evaluates bipartitions in a given tree employing an approximately unbiased (AU) test. For each bipartition, the software generates two alternative trees from a given tree by disrupting the bipartition of interest with the minimum changes in tree topology and compares them by the AU test. In the case of either or both alternative trees failing to be rejected, the software calls the particular bipartition ”unresolved” and otherwise “unresolved.” We here compare the credibility of bipartitions calculated from multiple empirical sequence data by bootstrap, UFBoot2, SH-aLRT, and AUTOEB, and demonstrate that the new method can complement the preexisting ones.
論文抄録(英)
内容記述タイプ Other
内容記述 Both inference of a tree diagram and evaluating the credibility of the inferred tree are indispensable in molecular phylogeny. To evaluate the credibility of bipartitions in a phylogenetic tree in the maximum-likelihood framework, bootstrap, UFBoot2, and SH-aLRT are available. In this study, we propose a new software ”AUTOEB,” which evaluates bipartitions in a given tree employing an approximately unbiased (AU) test. For each bipartition, the software generates two alternative trees from a given tree by disrupting the bipartition of interest with the minimum changes in tree topology and compares them by the AU test. In the case of either or both alternative trees failing to be rejected, the software calls the particular bipartition ”unresolved” and otherwise “unresolved.” We here compare the credibility of bipartitions calculated from multiple empirical sequence data by bootstrap, UFBoot2, SH-aLRT, and AUTOEB, and demonstrate that the new method can complement the preexisting ones.
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AA12055912
書誌情報 研究報告バイオ情報学(BIO)

巻 2024-BIO-79, 号 1, p. 1-7, 発行日 2024-08-30
ISSN
収録物識別子タイプ ISSN
収録物識別子 2188-8590
Notice
SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
出版者
言語 ja
出版者 情報処理学会
戻る
0
views
See details
Views

Versions

Ver.1 2025-01-19 08:31:39.068781
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Cite as

エクスポート

OAI-PMH
  • OAI-PMH JPCOAR
  • OAI-PMH DublinCore
  • OAI-PMH DDI
Other Formats
  • JSON
  • BIBTEX

Confirm


Powered by WEKO3


Powered by WEKO3