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ISBN 10: 1138340561 ISBN 13: 9781138340565
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Añadir al carritoHardcover. Condición: new. Hardcover. After the great expansion of genome-wide association studies, their scientific methodology and, notably, their data analysis has matured in recent years, and they are a keystone in large epidemiological studies. Newcomers to the field are confronted with a wealth of data, resources and methods. This book presents current methods to perform informative analyses using real and illustrative data with established bioinformatics tools and guides the reader through the use of publicly available data. Includes clear, readable programming codes for readers to reproduce and adapt to their own data. Emphasises extracting biologically meaningful associations between traits of interest and genomic, transcriptomic and epigenomic data Uses up-to-date methods to exploit omic data Presents methods through specific examples and computing sessions Supplemented by a website, including code, datasets, and solutions This book presents current methods to perform informative analyses using real and illustrative data with established bioinformatics tools, and guides the reader through the use of publicly available data. The code and datasets, as well as solutions will be accessible online to help readers reproduce all results and figures in the book. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Añadir al carritoHardcover. Condición: Brand New. 368 pages. 9.25x6.25x0.80 inches. In Stock.
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Publicado por Taylor & Francis Ltd, London, 2019
ISBN 10: 1138340561 ISBN 13: 9781138340565
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Añadir al carritoHardcover. Condición: new. Hardcover. After the great expansion of genome-wide association studies, their scientific methodology and, notably, their data analysis has matured in recent years, and they are a keystone in large epidemiological studies. Newcomers to the field are confronted with a wealth of data, resources and methods. This book presents current methods to perform informative analyses using real and illustrative data with established bioinformatics tools and guides the reader through the use of publicly available data. Includes clear, readable programming codes for readers to reproduce and adapt to their own data. Emphasises extracting biologically meaningful associations between traits of interest and genomic, transcriptomic and epigenomic data Uses up-to-date methods to exploit omic data Presents methods through specific examples and computing sessions Supplemented by a website, including code, datasets, and solutions This book presents current methods to perform informative analyses using real and illustrative data with established bioinformatics tools, and guides the reader through the use of publicly available data. The code and datasets, as well as solutions will be accessible online to help readers reproduce all results and figures in the book. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Añadir al carritoBuch. Condición: Neu. Omic Association Studies with R and Bioconductor | Juan R. González (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2019 | Chapman and Hall/CRC | EAN 9781138340565 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents current methods to perform informative analyses using real and illustrative data with established bioinformatics tools, and guides the reader through the use of publicly available data. The code and datasets, as well as solutions will be accessible online to help readers reproduce all results and figures in the book.