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Computational Genetics And Genomics
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Computational Genetics And Genomics - nouveau livre

ISBN: 9781617374098

Ultimately, the quality of the tools available for genetic analysis and experimental disease models will be assessed on the basis of whether they provide new information that generates novel treatments for human disease. In addition, the time frame in which genetic discoveries impact clinical practice is also an important dimension of how society assesses the results of the significant public financial investment in genetic research. Because of the investment and the increased expectation that new tre- ments will be found for common diseases, allowing decades to pass before basic discoveries are made and translated into new therapies is no longer acceptable. Computational Genetics and Genomics: Tools for Understanding Disease provides an overview and assessment of currently available and developing tools for genetic analysis. It is hoped that these new tools can be used to identify the genetic basis for susceptibility to disease. Although this very broad topic is addressed in many other books and journal articles, Computational Genetics and Genomics: Tools for Understanding Disease focuses on methods used for analyzing mouse genetic models of biomedically - portant traits. This volume aims to demonstrate that commonly used inbred mouse strains can be used to model virtually all human disea- related traits. Importantly, recently developed computational tools will enable the genetic basis for differences in disease-related traits to be rapidly identified using these inbred mouse strains. On average, a decade is required to carry out the development process required to demonstrate that a new disease treatment is beneficial. Books Medical~~Pre-Clinical Medicine: Basic Sciences~~Medical Genetics Computational Genetics And Genomics~~Book~~9781617374098 Well-recognized computational geneticists review and assess both currently available and developing tools for the rapid identification of the genetic basis for susceptibility to disease. The authors introduce a new computational approach that makes it possible to identify the genetic basis for differences in physiologic or pathologic responses among inbred mouse strains, thus facilitating more rapid genetic discovery. The focus is on the haplotype-based computational genetic analysis method and its application to inbred mouse strains. Reviewing murine models of asthma, lung disease, osteoporosis, and substance abuse, the contributors provide an overview of available mouse models, what has been learned from them, and which new models must be developed to advance our understanding of these diseases. They also describe how genetic analysis of human populations has yielded information on the genetic basis for susceptibility to asthma and other inflammatory diseases.

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2010, ISBN: 1617374091, Lieferbar binnen 4-6 Wochen Frais d'envoiVersandkostenfrei innerhalb der BRD

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Internationaler Buchtitel. In englischer Sprache. Verlag: Springer-Verlag GmbH, Paperback, 320 Seiten, L=235mm, B=155mm, H=19mm, Gew.=544gr, [GR: 16960 - HC/Medizin/Andere Fachgebiete], Kartoniert/Broschiert, Klappentext: Well-recognized computational geneticists review and assess both currently available and developing tools for the rapid identification of the genetic basis for susceptibility to disease. The authors introduce a new computational approach that makes it possible to identify the genetic basis for differences in physiologic or pathologic responses among inbred mouse strains, thus facilitating more rapid genetic discovery. The focus is on the haplotype-based computational genetic analysis method and its application to inbred mouse strains. Reviewing murine models of asthma, lung disease, osteoporosis, and substance abuse, the contributors provide an overview of available mouse models, what has been learned from them, and which new models must be developed to advance our understanding of these diseases. They also describe how genetic analysis of human populations has yielded information on the genetic basis for susceptibility to asthma and other inflammatory diseases. Well-recognized computational geneticists review and assess both currently available and developing tools for the rapid identification of the genetic basis for susceptibility to disease. The authors introduce a new computational approach that makes it possible to identify the genetic basis for differences in physiologic or pathologic responses among inbred mouse strains, thus facilitating more rapid genetic discovery. The focus is on the haplotype-based computational genetic analysis method and its application to inbred mouse strains. Reviewing murine models of asthma, lung disease, osteoporosis, and substance abuse, the contributors provide an overview of available mouse models, what has been learned from them, and which new models must be developed to advance our understanding of these diseases. They also describe how genetic analysis of human populations has yielded information on the genetic basis for susceptibility to asthma and other inflammatory diseases.

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Computational Genetics And Genomics
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Computational Genetics And Genomics - nouveau livre

ISBN: 9781617374098

ID: 19224059

Ultimately, the quality of the tools available for genetic analysis and experimental disease models will be assessed on the basis of whether they provide new information that generates novel treatments for human disease. In addition, the time frame in which genetic discoveries impact clinical practice is also an important dimension of how society assesses the results of the significant public. Ultimately, the quality of the tools available for genetic analysis and experimental disease models will be assessed on the basis of whether they provide new information that generates novel treatments for human disease. In addition, the time frame in which genetic discoveries impact clinical practice is also an important dimension of how society assesses the results of the significant public financial investment in genetic research. Because of the investment and the increased expectation that new tre- ments will be found for common diseases, allowing decades to pass before basic discoveries are made and translated into new therapies is no longer acceptable. Computational Genetics and Genomics: Tools for Understanding Disease provides an overview and assessment of currently available and developing tools for genetic analysis. It is hoped that these new tools can be used to identify the genetic basis for susceptibility to disease. Although this very broad topic is addressed in many other books and journal articles, Computational Genetics and Genomics: Tools for Understanding Disease focuses on methods used for analyzing mouse genetic models of biomedically - portant traits. This volume aims to demonstrate that commonly used inbred mouse strains can be used to model virtually all human disea- related traits. Importantly, recently developed computational tools will enable the genetic basis for differences in disease-related traits to be rapidly identified using these inbred mouse strains. On average, a decade is required to carry out the development process required to demonstrate that a new disease treatment is beneficial. Books, Medical~~Pre-Clinical Medicine: Basic Sciences~~Medical Genetics, Computational Genetics And Genomics~~Book~~9781617374098, , , , , , , , , ,

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Computational Genetics and Genomics: Tools for Understanding Disease - Gary Peltz
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Computational Genetics and Genomics: Tools for Understanding Disease Computational-Genetics-and-Genomics~~Gary-Peltz Science/Tech>Genetics>Genetics Paperback, Springer-Verlag New York, LLC

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Détails sur le livre
Computational Genetics and Genomics
Auteur:

Gary Peltz

Titre:

Computational Genetics and Genomics

ISBN:

1617374091

Well-recognized computational geneticists review and assess both currently available and developing tools for the rapid identification of the genetic basis for susceptibility to disease. The authors introduce a new computational approach that makes it possible to identify the genetic basis for differences in physiologic or pathologic responses among inbred mouse strains, thus facilitating more rapid genetic discovery. The focus is on the haplotype-based computational genetic analysis method and its application to inbred mouse strains. Reviewing murine models of asthma, lung disease, osteoporosis, and substance abuse, the contributors provide an overview of available mouse models, what has been learned from them, and which new models must be developed to advance our understanding of these diseases. They also describe how genetic analysis of human populations has yielded information on the genetic basis for susceptibility to asthma and other inflammatory diseases.

Informations détaillées sur le livre - Computational Genetics and Genomics


EAN (ISBN-13): 9781617374098
ISBN (ISBN-10): 1617374091
Livre de poche
Date de parution: 2010
Editeur: Springer-Verlag GmbH
320 Pages
Poids: 0,544 kg
Langue: eng/Englisch

Livre dans la base de données depuis 18.10.2012 08:31:50
Livre trouvé récemment le 20.12.2016 11:42:45
ISBN/EAN: 1617374091

ISBN - Autres types d'écriture:
1-61737-409-1, 978-1-61737-409-8

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