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Titlebook: Evolutionary Genomics; Statistical and Comp Maria Anisimova Book‘‘‘‘‘‘‘‘ 2019Latest edition The Editor(s) (if applicable) and The Author(s)

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樓主
發(fā)表于 2025-3-21 18:42:31 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Evolutionary Genomics
副標題Statistical and Comp
編輯Maria Anisimova
視頻videohttp://file.papertrans.cn/318/317956/317956.mp4
概述Includes cutting-edge techniques.Provides step-by-step detail essential for reproducible results.Contains key implementation advice from the experts
叢書名稱Methods in Molecular Biology
圖書封面Titlebook: Evolutionary Genomics; Statistical and Comp Maria Anisimova Book‘‘‘‘‘‘‘‘ 2019Latest edition The Editor(s) (if applicable) and The Author(s)
描述This open access book addresses the challenge of analyzing and understanding the evolutionary dynamics of complex biological systems at the genomic level, and elaborates on some promising strategies that would bring us closer to uncovering of the vital relationships between genotype and phenotype. After a few educational primers, the book continues with sections on sequence homology and alignment, phylogenetic methods to study genome evolution, methodologies for evaluating selective pressures on genomic sequences as well as genomic evolution in light of protein domain architecture and transposable elements, population genomics and other omics, and discussions of current bottlenecks in handling and analyzing genomic data. Written for the highly successful .Methods in Molecular Biology. series, chapters include the kind of detail and expert implementation advice that lead to the best results.?.Authoritative and comprehensive, .Evolutionary Genomics: Statistical and Computational Methods, Second Edition. aims to serve both novices in biology with strong statistics and computational skills, and molecular biologists with a good grasp of standard mathematical concepts, in moving this imp
出版日期Book‘‘‘‘‘‘‘‘ 2019Latest edition
關鍵詞Genome biology; Genotype and phenotype; Probability and statistics; Sequence homology; Molecular evoluti
版次2
doihttps://doi.org/10.1007/978-1-4939-9074-0
isbn_ebook978-1-4939-9074-0Series ISSN 1064-3745 Series E-ISSN 1940-6029
issn_series 1064-3745
copyrightThe Editor(s) (if applicable) and The Author(s) 2019
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 20:20:54 | 只看該作者
1064-3745 expertsThis open access book addresses the challenge of analyzing and understanding the evolutionary dynamics of complex biological systems at the genomic level, and elaborates on some promising strategies that would bring us closer to uncovering of the vital relationships between genotype and phen
板凳
發(fā)表于 2025-3-22 01:10:58 | 只看該作者
Review of Special Distributions,d significance of WGA and present an overview of the methods that address it. We also examine the problem of evaluating whole-genome aligners and offer a set of methodological challenges that need to be tackled in order to make most effective use of our rapidly growing databases of whole genomes.
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https://doi.org/10.1007/978-3-0348-0107-2ine the difficult issue of verifying and benchmarking orthology predictions. Finally, we review typical applications of orthologous genes, groups, and reconciled trees and conclude with thoughts on future methodological developments.
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https://doi.org/10.1007/978-3-030-16609-0arities and differences between the effects of selfing and clonality. In reverse, comparative and population genomic data and approaches help revisiting old questions on the long-term evolution of breeding systems.
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