| 书目名称 | Evolutionary Genomics | | 副标题 | Statistical and Comp | | 编辑 | Maria Anisimova | | 视频video | | | 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 | | 丛书名称 | Methods in Molecular Biology | | 图书封面 |  | | 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 | | 关键词 | 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 |
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发表于 2025-3-21 17:42:04
