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Evolutionary Genomics. Statistical and Computational Methods.
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
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£ 13.42
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Add to basket2nd Ed. XVII, 780 p. Hardcover. 2nd Ed. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Stamped. Methods in Molecular Biology, Volume 1910. Sprache: Englisch.
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£ 52.70
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Evolutionary Genomics : Statistical and Computational Methods
Published by Springer New York, Springer US, 2019
ISBN 10: 149399073X ISBN 13: 9781493990733
Language: English
£ 54.08
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This open access book addresses the challenge of analyzing and understanding the evolutionary dynamics of complex biological systems at the genomic level, and elaborates on some promising strategies that would bring us closer to uncovering of the vital relationships between genotype and phenotype. After a few educational primers, the book continues with sections on sequence homology and alignment, phylogenetic methods to study genome evolution, methodologies for evaluating selective pressures on genomic sequences as well as genomic evolution in light of protein domain architecture and transposable elements, population genomics and other omics, and discussions of current bottlenecks in handling and analyzing genomic data. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and expert implementation advice that lead to the best results.Authoritative and comprehensive, Evolutionary Genomics: Statistical and Computational Methods, Second Edition aims to serve both novices in biology with strong statistics and computational skills, and molecular biologists with a good grasp of standard mathematical concepts, in moving this important field of study forward.
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Evolutionary Genomics: Statistical and Computational Methods, Volume 1 (Methods in Molecular Biology, 855)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 122.66
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
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Add to basketHardcover. Condition: New. 540 pp. 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 crucial for getting ahead in genomic data analyses. 0.0.
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Evolutionary Genomics: Statistical and Computational Methods, Volume 1 (Methods in Molecular Biology, 855)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Evolutionary Genomics: Statistical and Computational Methods, Volume 2 (Methods in Molecular Biology, 856)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Evolutionary Genomics: Statistical and Computational Methods, Volume 2 (Methods in Molecular Biology, 856)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Hardcover. Condition: Brand New. 1st edition. 467 pages. 10.50x7.50x1.00 inches. In Stock.
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Paperback. Condition: Brand New. reprint edition. 556 pages. 10.00x7.01x1.16 inches. In Stock.
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£ 225.99
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Add to basketCondition: New. pp. 571.
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Hardcover. Condition: Brand New. 1st edition. 556 pages. 10.50x7.50x1.25 inches. In Stock.
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Evolutionary Genomics : Statistical and Computational Methods, Volume 1
Published by Humana Press, Humana Press, 2016
ISBN 10: 1493959085 ISBN 13: 9781493959082
Language: English
£ 109.22
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Add to basketTaschenbuch. Condition: 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.
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Evolutionary Genomics: Statistical and Computational Methods, Volume 1
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 127.66
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 1236.
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Evolutionary Genomics : Statistical and Computational Methods, Volume 1
Published by Humana Press, Humana Press, 2012
ISBN 10: 161779581X ISBN 13: 9781617795817
Language: English
£ 148.84
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Add to basketBuch. Condition: 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.
