Isbn: 9781617795817 - evolutionary genomics: statistical and computational methods, volume 1: 855 (methods in molecular biology, 855) (13 resultados)

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Condición: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

Condición: New. This book examines developments in statistical methodology and the challenges that followed rapidly improving sequencing technologies. Includes articles encompassing theoretical works and hands-on tutorials, as well as many reviews with key biological insight. Editor(s): Anisimova, Maria. Series: Methods in Molecular Biology. Num Pages: 467 pages, 78 black & white illustrations, 13 colour illustrations, 14 black & white tables, biograp. BIC Classification: MFN; PSAJ. Category: (P) Professional & Vocational. Dimension: 261 x 183 x 31. Weight in Grams: 1036. . 2012. Hardback. . . . . …

Condición: New. pp. 484.

Condición: New. This book examines developments in statistical methodology and the challenges that followed rapidly improving sequencing technologies. Includes articles encompassing theoretical works and hands-on tutorials, as well as many reviews with key biological insight. Editor(s): Anisimova, Maria. Series: Methods in Molecular Biology. Num Pages: 467 pages, 78 black & white illustrations, 13 colour illustrations, 14 black & white tables, biograp. BIC Classification: MFN; PSAJ. Category: (P) Professional & Vocational. Dimension: 261 x 183 x 31. Weight in Grams: 1036. . 2012. Hardback. . . . . Books ship from the US and Ireland. …

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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Serves as an ideal reference for young and experienced researchers alikeFeatures practical, step-by-step guidance to methodologies being used in the fieldIncludes key implementation advice from the expertsTogether with early .…

Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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(TM) 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 cutting-edge, Evolutionary Genomics: Statistical and Computational Methods is a treasure chest of state-of the-art methods to study genomic and omics data, certain to inspire both young and experienced readers to join the interdisciplinary field of evolutionary genomics. 484 pp. Englisch.…

Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 cutting-edge, Evolutionary Genomics: Statistical and Computational Methods is a treasure chest of state-of the-art methods to study genomic and omics data, certain to inspire both young and experienced readers to join the interdisciplinary field of evolutionary genomics.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 484 pp. Englisch.…

Condición: New. Print on Demand pp. 484 91 Illus. (13 Col.).

Condición: New. PRINT ON DEMAND pp. 484.

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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(TM) 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 cutting-edge, Evolutionary Genomics: Statistical and Computational Methods is a treasure chest of state-of the-art methods to study genomic and omics data, certain to inspire both young and experienced readers to join the interdisciplinary field of evolutionary genomics.…