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Titlebook: Evolutionary Biology: Self/Nonself Evolution, Species and Complex Traits Evolution, Methods and Conc; Pierre Pontarotti Book 2017 Springer

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发表于 2025-3-21 19:13:34 | 显示全部楼层 |阅读模式
书目名称Evolutionary Biology: Self/Nonself Evolution, Species and Complex Traits Evolution, Methods and Conc
编辑Pierre Pontarotti
视频videohttp://file.papertrans.cn/318/317865/317865.mp4
概述All contributions have been peer-reviewed.Offers an up-to-date overview of recent findings in the field of evolutionary biology.Richly illustrated throughout.Includes supplementary material:
图书封面Titlebook: Evolutionary Biology: Self/Nonself Evolution, Species and Complex Traits Evolution, Methods and Conc; Pierre Pontarotti Book 2017 Springer
描述.This book presents 19 selected contributions to the 20.th. Evolutionary Biology Meeting in Marseille, which took place in September 2016. They are grouped under the following major themes:.·       Self/Nonself Evolution.·       Species Evolution and Evolution of Complex Traits.·       Methods and Concepts. .The aims of the annual meetings in Marseille – which bring together leading evolutionary biologists and other scientists using evolutionary biology concepts, e.g. for medical research – are to promote the exchange of ideas and to encourage interdisciplinary collaborations. Offering a revealing overview of the latest findings in the field of evolutionary biology, this book represents an invaluable source of information for scientists, teachers and advanced students alike..
出版日期Book 2017
关键词Evolutionary biology concepts; Comparative genomics; Functional phylogeny; Exobiology; Convergent evolut
版次1
doihttps://doi.org/10.1007/978-3-319-61569-1
isbn_softcover978-3-319-87113-4
isbn_ebook978-3-319-61569-1
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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发表于 2025-3-21 20:47:54 | 显示全部楼层
Urban and Landscape Perspectiveshe regions in which they are inserted. TEs allow us to revisit self and nonself distinction at the genomic level, through the complex relationships they display with the genome and the epigenome and their interaction with the environment.
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盖他为秘密
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DAFT
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Ethics, Medical Research, and Medicinely linked to experimental systems. I discuss two such data-driven studies, which highlight how combining theory and data allows us to understand how evolution has proceeded on Earth. Finally, I present several open challenges in the field of network evolution, and I suggest how to tackle them.
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Progesterone
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Mechanistic Models of Protein Evolutiondels of protein evolution. We conclude by discussing desired features in a simple mechanistic model of protein evolution that is more compatible with patterns observed in real and simulated protein evolution.
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