| 書目名稱 | Evolutionary Genomics |
| 副標題 | Statistical and Comp |
| 編輯 | Maria Anisimova |
| 視頻video | http://file.papertrans.cn/318/317955/317955.mp4 |
| 概述 | Serves as an ideal reference for young and experienced researchers alike.Features practical, step-by-step guidance to methodologies being used in the field.Includes key implementation advice from the |
| 叢書名稱 | Methods in Molecular Biology |
| 圖書封面 |  |
| 描述 | .Together with early theoretical work in population genetics, the debate on sources of genetic makeup initiated by proponents of the neutral theory made a solid contribution to the spectacular growth in statistical methodologies for molecular evolution. .Evolutionary Genomics: Statistical and Computational Methods. is intended to bring together the more recent developments in the statistical methodology and the challenges that followed as a result of rapidly improving sequencing technologies.? Presented by top scientists from a variety of disciplines, the collection includes a wide spectrum of articles encompassing theoretical works and hands-on tutorials, as well as many reviews with key biological insight.? .Volume 2. begins with phylogenomics and continues with in-depth coverage of natural selection, recombination, and genomic innovation. The remaining chapters treat topics of more recent interest, including population genomics, -omics studies, and computational issues related to the handling of large-scale genomic data.? Written in the highly successful .Methods in Molecular Biology?. series format, this work provides the kind of advice on methodology and implementation that is |
| 出版日期 | Book 2012 |
| 關鍵詞 | Bioinformatics; Computational techniques; Genome evolution; Genomic data; Genomic sequences; Molecular ev |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-61779-585-5 |
| isbn_softcover | 978-1-4939-6042-2 |
| isbn_ebook | 978-1-61779-585-5Series ISSN 1064-3745 Series E-ISSN 1940-6029 |
| issn_series | 1064-3745 |
| copyright | Springer Science+Business Media, LLC 2012 |
|Archiver|手機版|小黑屋|
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