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Cedric Gondro (69 results)
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Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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Paperback. Condition: Very Good. Primer to Analysis of Genomic Data Using R (Use R!) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .
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Paperback. Condition: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.
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Condition: New.
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Condition: As New. Unread book in perfect condition.
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Primer to Analysis of Genomic Data Using R (Use R!)
Book 46 of 68: Use R!Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 55.92
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Add to basketCondition: New. In English.
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Paperback. Condition: New.
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Condition: New. 286.
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Paperback. Condition: Brand New. 2015 edition. 270 pages. 9.25x6.25x0.75 inches. In Stock.
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Primer to Analysis of Genomic Data Using R
Book 46 of 68: Use R!Language: English
Published by Springer, Palgrave Macmillan, 2015
ISBN 10: 331914474X ISBN 13: 9783319144740
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Through this book, researchers and students will learn to use R for analysis of large-scale genomic data and how to create routines to automate analytical steps. The philosophy behind the book is to start with real world raw datasets and perform all the analytical steps needed to reach final results. Though theory plays an important role, this is a practical book for graduate and undergraduate courses in bioinformatics and genomic analysis or for use in lab sessions. How to handle and manage high-throughput genomic data, create automated workflows and speed up analyses in R is also taught. A wide range of R packages useful for working with genomic data are illustrated with practical examples. The key topics covered are association studies, genomic prediction, estimation of population genetic parameters and diversity, gene expression analysis, functional annotation of results using publically available databases and how to work efficiently in R with large genomic datasets. Important principles are demonstrated and illustrated through engaging examples which invite the reader to work with the provided datasets. Some methods that are discussed in this volume include: signatures of selection, population parameters (LD, FST, FIS, etc); use of a genomic relationship matrix for population diversity studies; use of SNP data for parentage testing; snpBLUP and gBLUP for genomic prediction. Step-by-step, all the R code required for a genome-wide association study is shown: starting from raw SNP data, how to build databases to handle and manage the data, quality control and filtering measures, association testing and evaluation of results, through to identification and functional annotation of candidate genes. Similarly, gene expression analyses are shown using microarray and RNAseq data. At a time when genomic data is decidedly big, the skills from this book are critical. In recent years R has become the de facto.
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Taschenbuch. Condition: Neu. Primer to Analysis of Genomic Data Using R | Cedric Gondro | Taschenbuch | xvi | Englisch | 2015 | Springer | EAN 9783319144740 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Condition: New.
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 580 | Sprache: Englisch | Produktart: Bücher | 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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Condition: As New. Unread book in perfect condition.
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Genome-Wide Association Studies and Genomic Prediction (Methods in Molecular Biology, 1019)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 148.08
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Taschenbuch. Condition: Neu. Genome-Wide Association Studies and Genomic Prediction | Cedric Gondro (u. a.) | Taschenbuch | xi | Englisch | 2017 | Humana | EAN 9781493959648 | Verantwortliche Person für die EU: Humana Press in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Condition: New. pp. 577.
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Genome Wide Association Studies And Gen
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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Condition: New.
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 258 | Sprache: Englisch | Produktart: Bücher | Fitness and adaptation are fundamental characteristics of plant and animal species, enabling them to survive in their environment and to adapt to the inevitable changes in this environment. This is true for both the genetic resources of natural ecosystems as well as those used in agricultural production.Extensive genetic variation exists between varieties/breeds in a species and amongst individuals within breeds. This variation has developed over very long periods of time. A major ongoing challenge is how to best utilize this variation to meet short-term demands whilst also conserving it for longer-term possible use.Many animal breeding programs have led to increased performance for production traits but this has often been accompanied by reduced fitness. In addition, the global use of genetic resources prompts the question whether introduced genotypes are adapted to local production systems. Understanding the genetic nature of fitness and adaptation will enable us to better manage genetic resources allowing us to make efficient and sustainable decisions for the improvement or breeding of these resources.This book had an ambitious goal in bringing together a sample of the world's leading scientists in animal breeding and evolutionary genetics to exchange knowledge to advance our understanding of these vital issues.
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Adaptation and Fitness in Animal Populations: Evolutionary and Breeding Perspectives on Genetic Resource Management
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 189.04
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Add to basketCondition: New. In English.
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Condition: As New. Unread book in perfect condition.
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Condition: As New. Unread book in perfect condition.
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Paperback. Condition: Brand New. reprint edition. 577 pages. 9.25x6.10x1.61 inches. In Stock.
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Condition: New.
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Genome-Wide Association Studies and Genomic Prediction (Methods in Molecular Biology, 1019)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 209.52
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In English.
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Condition: New.
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Condition: New. pp. 272.
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Condition: New. pp. 272.
