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Titlebook: Comparative Genomics; 21st International C Celine Scornavacca,Maribel Hernández-Rosales Conference proceedings 2024 The Editor(s) (if appli

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發(fā)表于 2025-3-21 16:34:45 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Comparative Genomics
副標題21st International C
編輯Celine Scornavacca,Maribel Hernández-Rosales
視頻videohttp://file.papertrans.cn/231/230902/230902.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Comparative Genomics; 21st International C Celine Scornavacca,Maribel Hernández-Rosales Conference proceedings 2024 The Editor(s) (if appli
描述.This book constitutes the proceedings of the 21st International Conference on Comparative Genomics, RECOMB-CG 2024, which was held in Boston, MA, USA, during April 27–28, 2024...The 13 full papers presented in this book were carefully reviewed and selected from 21 submissions. The papers are divided into the following topical sections: phylogenetic networks; homology and phylogenetic reconstruction; tools for evolution reconstruction; genome rearrangements; and genome evolution...?..?.
出版日期Conference proceedings 2024
關鍵詞Computer Science; Informatics; Conference Proceedings; Research; Applications; Phylogenetics; Comparative
版次1
doihttps://doi.org/10.1007/978-3-031-58072-7
isbn_softcover978-3-031-58071-0
isbn_ebook978-3-031-58072-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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: ,econstruction of?,ary ,istories ,oospecies trees upon input and settles for a maximal subtree reconciliation in cases where noise or horizontal gene transfer precludes a global reconciliation. The accuracy of the tool is comparable to competing tools at substantially reduced computational cost. . is freely available at ..
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Gene-Adjacency-Based Phylogenetics Under a?Stochastic Gain-Loss Modelariables, leading to a simple equation to estimate the model parameter and, consequently, the consistency of the phylogenetic reconstruction. Additionally, with a more straightforward representation, we can easily calculate the asymptotic variance of the parameter estimation, allowing us to obtain a
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Gene Tree Parsimony in?the?Presence of?Gene Duplication, Loss, and?Incomplete Lineage Sortingraph-theoretic characterization and present a dynamic programming algorithm for this problem. Through an extensive evaluation study on a collection of simulated and empirical datasets, we compared our proposed GTP approaches with the leading methods in the field.
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