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ISBN 10: 0198816529 ISBN 13: 9780198816522
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Publicado por Oxford University Press, 2024
ISBN 10: 0198816529 ISBN 13: 9780198816522
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ISBN 10: 0198816529 ISBN 13: 9780198816522
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Publicado por Oxford University Press, 2024
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Publicado por Oxford University Press, 2024
ISBN 10: 0198816529 ISBN 13: 9780198816522
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Idioma: Inglés
Publicado por Oxford University Press, 2024
ISBN 10: 0198816529 ISBN 13: 9780198816522
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Publicado por Oxford University Press, 2024
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Publicado por Oxford University Press, GB, 2024
ISBN 10: 0198816529 ISBN 13: 9780198816522
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Añadir al carritoPaperback. Condición: New. The field of molecular and genomic evolution has been catalysed by the ever increasing availability of high throughput data such as transcriptome evolution, genotype-phenotype evolution, and genetic robustness. However, there is also an urgent requirement for the emergence of new paradigms (universally accepted scientific frameworks) supported by conceptual breakthroughs, since there is now widespread agreement that genome evolution research should be far more than a static pattern characterized by some well-known arguments and yet more big data for testing or extension. Furthermore, while the internet has made a vast body of literature and data widely accessible, researchers are increasingly facing significant challenges in how to select from this huge reserve appropriately and systematically. Statistical Analysis of Molecular and Genomic Evolution sets out to provide a solution to the most frequently asked question by next-generation young researchers in the area of evolutionary genomics: What is the knowledge that is essential for moving the research forward and where can it be found? Although the book incorporates the latest research foci, it is written at the simplest mathematical level whilst sophisticated enough to provide a deep understanding of current principles and methods. Technical issues are described only briefly, mathematical derivations are kept to a minimum, and it is structured and presented in a way that encourages its use as a graduate textbook. Mindful of the steep learning curve that some biologist readers may face, online appendices review basic mathematical and statistical concepts used in the book, and provide further examples and practical exercises.This is an advanced textbook suitable for graduate level students as well as professional researchers (both empiricists and theoreticians) in the fields of molecular phylogenetics, evolutionary biology, bioinformatics, mathematics, and statistics.
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Idioma: Inglés
Publicado por Oxford University Press, 2024
ISBN 10: 0198816529 ISBN 13: 9780198816522
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Publicado por Oxford University Press, Oxford, 2024
ISBN 10: 0198816529 ISBN 13: 9780198816522
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Añadir al carritoPaperback. Condición: new. Paperback. The field of molecular and genomic evolution has been catalysed by the ever increasing availability of high throughput data such as transcriptome evolution, genotype-phenotype evolution, and genetic robustness. However, there is also an urgent requirement for the emergence of new paradigms (universally accepted scientific frameworks) supported by conceptual breakthroughs, since there is now widespread agreement that genome evolution research should be far more thana static pattern characterized by some well-known arguments and yet more big data for testing or extension. Furthermore, while the internet has made a vast body of literature and data widelyaccessible, researchers are increasingly facing significant challenges in how to select from this huge reserve appropriately and systematically. Statistical Analysis of Molecular and Genomic Evolution sets out to provide a solution to the most frequently asked question by next-generation young researchers in the area of evolutionary genomics: What is the knowledge that is essential for moving the research forward and where can it be found? Although the bookincorporates the latest research foci, it is written at the simplest mathematical level whilst sophisticated enough to provide a deep understanding of current principles and methods. Technical issues are describedonly briefly, mathematical derivations are kept to a minimum, and it is structured and presented in a way that encourages its use as a graduate textbook. Mindful of the steep learning curve that some biologist readers may face, online appendices review basic mathematical and statistical concepts used in the book, and provide further examples and practical exercises.This is an advanced textbook suitable for graduate level students as well as professional researchers (bothempiricists and theoreticians) in the fields of molecular phylogenetics, evolutionary biology, bioinformatics, mathematics, and statistics. Proposes a new framework of knowledge for the field of evolutionary genomics. Written at the simplest mathematical level whilst offering a clear explanation of complex statistical models and principles. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Publicado por Oxford University Press, 2024
ISBN 10: 0198816529 ISBN 13: 9780198816522
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Idioma: Inglés
Publicado por Oxford University Press, 2024
ISBN 10: 0198816529 ISBN 13: 9780198816522
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Idioma: Inglés
Publicado por Oxford University Press, 2024
ISBN 10: 0198816529 ISBN 13: 9780198816522
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Añadir al carritoPaperback. Condición: Brand New. 176 pages. 6.69x0.39x9.69 inches. In Stock.
Idioma: Inglés
Publicado por OXFORD UNIVERSITY PRESS, 2024
ISBN 10: 0198816529 ISBN 13: 9780198816522
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Idioma: Inglés
Publicado por Oxford University Press, 2024
ISBN 10: 0198816529 ISBN 13: 9780198816522
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Publicado por Oxford University Press Nov 2024, 2024
ISBN 10: 0198816529 ISBN 13: 9780198816522
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware - Proposes a new framework of knowledge for the field of evolutionary genomics. Written at the simplest mathematical level whilst offering a clear explanation of complex statistical models and principles.
Idioma: Inglés
Publicado por Oxford University Press, GB, 2024
ISBN 10: 0198816529 ISBN 13: 9780198816522
Librería: Rarewaves.com UK, London, Reino Unido
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Añadir al carritoPaperback. Condición: New. The field of molecular and genomic evolution has been catalysed by the ever increasing availability of high throughput data such as transcriptome evolution, genotype-phenotype evolution, and genetic robustness. However, there is also an urgent requirement for the emergence of new paradigms (universally accepted scientific frameworks) supported by conceptual breakthroughs, since there is now widespread agreement that genome evolution research should be far more than a static pattern characterized by some well-known arguments and yet more big data for testing or extension. Furthermore, while the internet has made a vast body of literature and data widely accessible, researchers are increasingly facing significant challenges in how to select from this huge reserve appropriately and systematically. Statistical Analysis of Molecular and Genomic Evolution sets out to provide a solution to the most frequently asked question by next-generation young researchers in the area of evolutionary genomics: What is the knowledge that is essential for moving the research forward and where can it be found? Although the book incorporates the latest research foci, it is written at the simplest mathematical level whilst sophisticated enough to provide a deep understanding of current principles and methods. Technical issues are described only briefly, mathematical derivations are kept to a minimum, and it is structured and presented in a way that encourages its use as a graduate textbook. Mindful of the steep learning curve that some biologist readers may face, online appendices review basic mathematical and statistical concepts used in the book, and provide further examples and practical exercises.This is an advanced textbook suitable for graduate level students as well as professional researchers (both empiricists and theoreticians) in the fields of molecular phylogenetics, evolutionary biology, bioinformatics, mathematics, and statistics.
Publicado por Oxford University Press
ISBN 10: 0198816529 ISBN 13: 9780198816522
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
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