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Titlebook: Evolutionary Genomics; Statistical and Comp Maria Anisimova Book 2012 Springer Science+Business Media, LLC 2012 Bioinformatics.Computationa

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書目名稱Evolutionary Genomics
副標(biāo)題Statistical and Comp
編輯Maria Anisimova
視頻videohttp://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Titlebook: Evolutionary Genomics; Statistical and Comp Maria Anisimova Book 2012 Springer Science+Business Media, LLC 2012 Bioinformatics.Computationa
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(guān)鍵詞Bioinformatics; Computational techniques; Genome evolution; Genomic data; Genomic sequences; Molecular ev
版次1
doihttps://doi.org/10.1007/978-1-61779-585-5
isbn_softcover978-1-4939-6042-2
isbn_ebook978-1-61779-585-5Series ISSN 1064-3745 Series E-ISSN 1940-6029
issn_series 1064-3745
copyrightSpringer Science+Business Media, LLC 2012
The information of publication is updating

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