Genome-Wide Association Studies and Genomic Prediction (Methods in Molecular Biology)

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9781627034463: Genome-Wide Association Studies and Genomic Prediction (Methods in Molecular Biology)

With the detailed genomic information that is now becoming available, we have a plethora of data that allows researchers to address questions in a variety of areas. Genome-wide association studies (GWAS) have become a vital approach to identify candidate regions associated with complex diseases in human medicine, production traits in agriculture, and variation in wild populations.  Genomic prediction goes a step further, attempting to predict phenotypic variation in these traits from genomic information.  Genome-Wide Association Studies and Genomic Prediction pulls together expert contributions to address this important area of study.  The volume begins with a section covering the phenotypes of interest as well as design issues for GWAS, then moves on to discuss efficient computational methods to store and handle large datasets, quality control measures, phasing, haplotype inference, and imputation.  Later chapters deal with statistical approaches to data analysis where the experimental objective is either to confirm the biology by identifying genomic regions associated to a trait or to use the data to make genomic predictions about a future phenotypic outcome (e.g. predict onset of disease). As part of the Methods in Molecular Biology series, chapters provide helpful, real-world implementation advice.

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“A detailed review that will help both genomics newbies and experts to have a better picture of what their genome sequences can offer them today. ... People working in medicine and health sciences should read this book and get involved in the field. ... anyone unfamiliar with the topic, but with the desire to learn more about what they could find in their own genome, can start learning from scratch by reading this book.” (Alejandra Manjarrez, Lab Times, Issue 5, September, 2013)

“A practical guide for experts to obtain, qualify, and statistically analyse data on genomes and to support genotype-phenotype information. In a growing field, this is the first hands-on book for experts in a relatively new discipline. ... the book is too good to ignore once you start reading and pick up information along the way. ... if you are new to the field, this book will certainly extend you a warm welcome to the tricky world of GWAS.” (Vijay Shankar, Lab Times, Issue 6, 2013)

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Editorial: Humana Press Inc., United States (2013)
ISBN 10: 1627034463 ISBN 13: 9781627034463
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Descripción Humana Press Inc., United States, 2013. Mixed media product. Estado de conservación: New. 2013 ed.. Language: English . Brand New Book. With the detailed genomic information that is now becoming available, we have a plethora of data that allows researchers to address questions in a variety of areas. Genome-wide association studies (GWAS) have become a vital approach to identify candidate regions associated with complex diseases in human medicine, production traits in agriculture, and variation in wild populations. Genomic prediction goes a step further, attempting to predict phenotypic variation in these traits from genomic information. Genome-Wide Association Studies and Genomic Prediction pulls together expert contributions to address this important area of study. The volume begins with a section covering the phenotypes of interest as well as design issues for GWAS, then moves on to discuss efficient computational methods to store and handle large datasets, quality control measures, phasing, haplotype inference, and imputation. Later chapters deal with statistical approaches to data analysis where the experimental objective is either to confirm the biology by identifying genomic regions associated to a trait or to use the data to make genomic predictions about a future phenotypic outcome (e.g. predict onset of disease). As part of the Methods in Molecular Biology series, chapters provide helpful, real-world implementation advice. Nº de ref. de la librería AAB9781627034463

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Cedric Gondro (editor), Julius van der Werf (editor), Ben Hayes (editor)
Editorial: Humana Press 2013-06-12, New York (2013)
ISBN 10: 1627034463 ISBN 13: 9781627034463
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Descripción Humana Press 2013-06-12, New York, 2013. Estado de conservación: New. Nº de ref. de la librería 9781627034463

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Editorial: Humana Press Inc., United States (2013)
ISBN 10: 1627034463 ISBN 13: 9781627034463
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Descripción Humana Press Inc., United States, 2013. Mixed media product. Estado de conservación: New. 2013 ed.. Language: English . Brand New Book. With the detailed genomic information that is now becoming available, we have a plethora of data that allows researchers to address questions in a variety of areas. Genome-wide association studies (GWAS) have become a vital approach to identify candidate regions associated with complex diseases in human medicine, production traits in agriculture, and variation in wild populations. Genomic prediction goes a step further, attempting to predict phenotypic variation in these traits from genomic information. Genome-Wide Association Studies and Genomic Prediction pulls together expert contributions to address this important area of study. The volume begins with a section covering the phenotypes of interest as well as design issues for GWAS, then moves on to discuss efficient computational methods to store and handle large datasets, quality control measures, phasing, haplotype inference, and imputation. Later chapters deal with statistical approaches to data analysis where the experimental objective is either to confirm the biology by identifying genomic regions associated to a trait or to use the data to make genomic predictions about a future phenotypic outcome (e.g. predict onset of disease). As part of the Methods in Molecular Biology series, chapters provide helpful, real-world implementation advice. Nº de ref. de la librería AAB9781627034463

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Cedric Gondro, Julius van der Werf, Ben Hayes
Editorial: Humana Press Inc.
ISBN 10: 1627034463 ISBN 13: 9781627034463
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Descripción Humana Press Inc. Mixed media product. Estado de conservación: new. BRAND NEW, Genome-Wide Association Studies and Genomic Prediction, Cedric Gondro, Julius van der Werf, Ben Hayes, With the detailed genomic information that is now becoming available, we have a plethora of data that allows researchers to address questions in a variety of areas. Genome-wide association studies (GWAS) have become a vital approach to identify candidate regions associated with complex diseases in human medicine, production traits in agriculture, and variation in wild populations. Genomic prediction goes a step further, attempting to predict phenotypic variation in these traits from genomic information. Genome-Wide Association Studies and Genomic Prediction pulls together expert contributions to address this important area of study. The volume begins with a section covering the phenotypes of interest as well as design issues for GWAS, then moves on to discuss efficient computational methods to store and handle large datasets, quality control measures, phasing, haplotype inference, and imputation. Later chapters deal with statistical approaches to data analysis where the experimental objective is either to confirm the biology by identifying genomic regions associated to a trait or to use the data to make genomic predictions about a future phenotypic outcome (e.g. predict onset of disease). As part of the Methods in Molecular Biology series, chapters provide helpful, real-world implementation advice. Nº de ref. de la librería B9781627034463

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Editorial: Humana Press Inc. (2013)
ISBN 10: 1627034463 ISBN 13: 9781627034463
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Descripción Humana Press Inc., 2013. Estado de conservación: New. This Methods in Molecular Biology(TM) book covers phenotypes of interest as well as design issues for GWAS, methods for storing and handling large datasets, quality control measures, haplotype inference, and imputation and statistical approaches to data analysis. Editor(s): Gondro, Cedric; van der Werf, Julius; Hayes, Ben. Series: Methods in Molecular Biology. Num Pages: 566 pages, 36 black & white illustrations, 31 colour illustrations, 47 black & white tables, biograp. BIC Classification: PSAK1; PSD. Category: (P) Professional & Vocational. Dimension: 261 x 185 x 36. Weight in Grams: 1220. . 2013. 2013th Edition. Hardcover. . . . . . Nº de ref. de la librería V9781627034463

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Cedric Gondro, Julius Van der Werf, Ben Hayes,
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Descripción Mixed media product. Estado de conservación: New. Not Signed; With the detailed genomic information that is now becoming available, we have a plethora of data that allows researchers to address questions in a variety of areas. Genome-wide association studies (GWAS) have become a vital approach to identify candidate regions associated with complex diseases in h. book. Nº de ref. de la librería ria9781627034463_rkm

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Descripción Humana Press Inc. Estado de conservación: New. This Methods in Molecular Biology(TM) book covers phenotypes of interest as well as design issues for GWAS, methods for storing and handling large datasets, quality control measures, haplotype inference, and imputation and statistical approaches to data analysis. Editor(s): Gondro, Cedric; van der Werf, Julius; Hayes, Ben. Series: Methods in Molecular Biology. Num Pages: 566 pages, 36 black & white illustrations, 31 colour illustrations, 47 black & white tables, biograp. BIC Classification: PSAK1; PSD. Category: (P) Professional & Vocational. Dimension: 261 x 185 x 36. Weight in Grams: 1220. . 2013. 2013th Edition. Hardcover. . . . . Books ship from the US and Ireland. Nº de ref. de la librería V9781627034463

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Descripción Humana Press Inc., 2013. UNK. Estado de conservación: New. New Book.Shipped from US within 10 to 14 business days.THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. de la librería IP-9781627034463

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Descripción Humana Press Inc., 2013. UNK. Estado de conservación: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. de la librería GB-9781627034463

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ISBN 10: 1627034463 ISBN 13: 9781627034463
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Descripción Estado de conservación: New. This item is Print on Demand - Depending on your location, this item may ship from the US or UK. Nº de ref. de la librería POD_9781627034463

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