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This handbook provides human geneticists and other biomedical researchers with guidance on selections of appropriate computational methods and software packages for their specific genetic problems. It may also be used by students and other learners as a reference in conjunction with a more theoretical and/or methodologically oriented text book. Coverage strikes a balance between methodological expositions and practical guidelines for software selections. Wherever possible, comparisons among competing methods and software are made to highlight the relative advantages and disadvantage of the approaches so that readers can make informed choices to best match their specific needs.
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The discipline of statistical genetics is highly computational. Be it exact computational methods, simulation based, or a hybrid of the two, computational packages are indispensable tools and constant companions of researchers in the field. This handbook is intended to provide human geneticists and other biomedical researchers with guidance on selections of appropriate computational methods and software packages for their specific genetic problems. It may also be used by students and other learners as a reference in conjunction with a more theoretical and/or methodologically oriented text book. This book tries to strike a balance between methodological expositions and practical guidelines for software selections. Wherever possible, comparisons among competing methods and software are made to highlight the relative advantages and disadvantage of the approaches so that the readers can make informed choices to best match their specific needs.
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Handbook on Analyzing Human Genetic Data: Computational Approaches and Software
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Handbook on Analyzing Human Genetic Data : Computational Approaches and Software
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Handbook on Analyzing Human Genetic Data: Computational Approaches and Software
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Handbook on Analyzing Human Genetic Data (Paperback)
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Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2014
ISBN 10: 3642424813
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Paperback. Condición: new. Paperback. The discipline of statistical genetics is highly computational. Be it exact compu- tionalmethods,simulationbased,orahybridofthetwo,computationalpackagesare indispensable tools and constant companions of researchers in the ?eld. This ha- bookisintendedtoprovidehumangeneticistsandotherbiomedicalresearcherswith guidance on selections of appropriate computational methods and software pa- ages for their speci?c genetic problems. It may also be used by students and other learners as a reference in conjunction with a more theoretical and/or methodolo- cally oriented text book. This book tries to strike a balance between methodological expositions and practical guidelines for software selections. Wherever possible, comparisons among the competing methods and software are made to highlight the relativeadvantagesanddisadvantagesoftheapproaches,so thatthe readercanmake informed choices to best match their speci?c needs. Human genetics has been undergoing an evolution in the past several years as new knowledge and technologies are transforming the ?eld, leading to numerous new discoveriesof genes associated with complex traits such as cancer, obesity, and diabetes. Many recent genome-wide association studies employ the casecontrol design, where the study subjects consist of unrelated affected individuals and n- mal controls. For each individual, a large number of genetic markers are queried. Human genetics has been undergoing an evolution in the past several years as new knowledge and technologies are transforming the ?eld, leading to numerous new discoveriesof genes associated with complex traits such as cancer, obesity, and diabetes. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9783642424816
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Handbook on Analyzing Human Genetic Data: Computational Approaches and Software
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Handbook on Analyzing Human Genetic Data
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Springer Berlin Heidelberg Nov 2014, 2014
ISBN 10: 3642424813
ISBN 13: 9783642424816
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This handbook offers guidance on selections of appropriate computational methods and software packages for specific genetic problems. Coverage strikes a balance between methodological expositions and practical guidelines for software selections. Wherever possible, comparisons among competing methods and software are made to highlight the relative advantages and disadvantage of the approaches. 348 pp. Englisch. Nº de ref. del artículo: 9783642424816
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Handbook on Analyzing Human Genetic Data
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Springer Berlin Heidelberg, Springer Berlin Heidelberg Nov 2014, 2014
ISBN 10: 3642424813
ISBN 13: 9783642424816
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Taschenbuch. Condición: Neu. Neuware -The discipline of statistical genetics is highly computational. Be it exact compu- tionalmethods,simulationbased,orahybridofthetwo,computationalpackagesare indispensable tools and constant companions of researchers in the eld. This ha- bookisintendedtoprovidehumangeneticistsandotherbiomedicalresearcherswith guidance on selections of appropriate computational methods and software pa- ages for their speci c genetic problems. It may also be used by students and other learners as a reference in conjunction with a more theoretical and/or methodolo- cally oriented text book. This book tries to strike a balance between methodological expositions and practical guidelines for software selections. Wherever possible, comparisons among the competing methods and software are made to highlight the relativeadvantagesanddisadvantagesoftheapproaches,so thatthe readercanmake informed choices to best match their speci c needs. Human genetics has been undergoing an evolution in the past several years as new knowledge and technologies are transforming the eld, leading to numerous new discoveriesof genes associated with complex traits such as cancer, obesity, and diabetes. Many recent genome-wide association studies employ the case¿control design, where the study subjects consist of unrelated affected individuals and n- mal controls. For each individual, a large number of genetic markers are queried.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 348 pp. Englisch. Nº de ref. del artículo: 9783642424816
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Handbook on Analyzing Human Genetic Data : Computational Approaches and Software
Publicado por
Springer Berlin Heidelberg, 2014
ISBN 10: 3642424813
ISBN 13: 9783642424816
Nuevo
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The discipline of statistical genetics is highly computational. Be it exact compu- tionalmethods,simulationbased,orahybridofthetwo,computationalpackagesare indispensable tools and constant companions of researchers in the eld. This ha- bookisintendedtoprovidehumangeneticistsandotherbiomedicalresearcherswit h guidance on selections of appropriate computational methods and software pa- ages for their speci c genetic problems. It may also be used by students and other learners as a reference in conjunction with a more theoretical and/or methodolo- cally oriented text book. This book tries to strike a balance between methodological expositions and practical guidelines for software selections. Wherever possible, comparisons among the competing methods and software are made to highlight the relativeadvantagesanddisadvantagesoftheapproaches,so thatthe readercanmake informed choices to best match their speci c needs. Human genetics has been undergoing an evolution in the past several years as new knowledge and technologies are transforming the eld, leading to numerous new discoveriesof genes associated with complex traits such as cancer, obesity, and diabetes. Many recent genome-wide association studies employ the case-control design, where the study subjects consist of unrelated affected individuals and n- mal controls. For each individual, a large number of genetic markers are queried. Nº de ref. del artículo: 9783642424816
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