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

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书目名称Evolutionary Genomics影响因子(影响力)




书目名称Evolutionary Genomics影响因子(影响力)学科排名




书目名称Evolutionary Genomics网络公开度




书目名称Evolutionary Genomics网络公开度学科排名




书目名称Evolutionary Genomics被引频次




书目名称Evolutionary Genomics被引频次学科排名




书目名称Evolutionary Genomics年度引用




书目名称Evolutionary Genomics年度引用学科排名




书目名称Evolutionary Genomics读者反馈




书目名称Evolutionary Genomics读者反馈学科排名

缓和

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

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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.

谷物

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.

faddish

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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