书目名称 | Statistical Population Genomics |
编辑 | Julien Y. Dutheil |
视频video | http://file.papertrans.cn/877/876622/876622.mp4 |
概述 | Includes cutting-edge methods and protocols.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the experts |
丛书名称 | Methods in Molecular Biology |
图书封面 |  |
描述 | .This open access volume presents state-of-the-art inference methods in population genomics, focusing on data analysis based on rigorous statistical techniques. After introducing general concepts related to the biology of genomes and their evolution, the book covers state-of-the-art methods for the analysis of genomes in populations, including demography inference, population structure analysis and detection of selection, using both model-based inference and simulation procedures. Last but not least, it offers an overview of the current knowledge acquired by applying such methods to a large variety of eukaryotic organisms. Written in the highly successful .Methods in Molecular Biology .series format, chapters include introductions to their respective topics, pointers to the relevant literature, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls...Authoritative and cutting-edge, .Statistical Population Genomics .aims. .to promote and ensure successful applications of population genomic methods to an increasing number of model systems and biological questions.. |
出版日期 | Book‘‘‘‘‘‘‘‘ 2020 |
关键词 | VCFTools; MafFilter; PLINK; SCRM; ARGweaver; open access |
版次 | 1 |
doi | https://doi.org/10.1007/978-1-0716-0199-0 |
isbn_softcover | 978-1-0716-0201-0 |
isbn_ebook | 978-1-0716-0199-0Series ISSN 1064-3745 Series E-ISSN 1940-6029 |
issn_series | 1064-3745 |
copyright | The Editor(s) (if applicable) and The Author(s) 2020 |