| 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 1. includes a helpful introductory section of bioinformatician primers followed by detailed chapters detailing genomic data assembly, alignment, and homology inference as well as insights into genome evolution from statistical analyses. Written in the highly successful .Methods in Molecular Biology™. series format, this work provides the kind of advice on methodology and implementation that is crucial for getting ahead in genomic data analyses.. .Comprehensive and cut | | 出版日期 | Book 2012 | | 关键词 | Bioinformatics; Computational techniques; Data assembly; Genome biology; Genomic evolution; Homology infe | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-61779-582-4 | | isbn_softcover | 978-1-4939-5908-2 | | isbn_ebook | 978-1-61779-582-4Series 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 16:09:37
