A Guide to QTL Mapping with R/qtl (Statistics for Biology and Health)

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9780387921242: A Guide to QTL Mapping with R/qtl (Statistics for Biology and Health)
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“The book by Broman and Sen gives a practical review of statistical QTL mapping in experimental crosses with step-by-step instructions to the use of the R package qtl. …has a wide coverage of topics, from experimental design and data input, to single-QTL mapping, mapping with covariates and multiple-GTL scans, organized into 11 chapters according to the logic flow of a QTL analysis. The authors made a good compromise between statistical methodology and real-data illustration with R code, so that different readers may easily focus on the parts that are more interesting to them. A researcher can follow the code in the examples of the book to study real-data applications of the qtl package. …this is a well-written book with carefully chosen and nicely organized topics. It can serve as a good introduction to QTL mapping methodology and a useful practical guide to the R package. …” (Journal of Statistical Software, Vol. 32, Book Review 5, January 2010)

“The book gives an overview of the practical aspects of the analysis of QTL mapping experiments … . Most of the chapters start with a short introduction and finish with a summary and suggestions of further reading listing numerous review articles connected with the discussed subject. … There are 150 figures, including 90 in full color. We recommend it, first of all, to scientists who use QTL mapping analysis, and also to postdoctoral researchers and graduated students interested in exploring applications of statistics.”­­­ (I. Czyczy?o-Mysza and I. Marci?ska, Acta Physiologiae Plantarum, Vol. 32, March, 2010)

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Comprehensive discussion of QTL mapping concepts and theory Detailed instructions on the use of the R/qtl software, the most featured and flexible software for QTL mapping Two case studies illustrate QTL analysis in its entirety

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Broman, Karl W.; Sen, Saunak
Editorial: Springer-Verlag New York Inc., United States (2009)
ISBN 10: 0387921249 ISBN 13: 9780387921242
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Descripción Springer-Verlag New York Inc., United States, 2009. Hardback. Estado de conservación: New. 236 x 165 mm. Language: English . Brand New Book. Comprehensive discussion of QTL mapping concepts and theory Detailed instructions on the use of the R/qtl software, the most featured and flexible software for QTL mapping Two case studies illustrate QTL analysis in its entirety. Nº de ref. de la librería LIB9780387921242

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Broman, Karl W.; Sen, Saunak
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Descripción Springer, 2009. Hardback. Estado de conservación: NEW. 9780387921242 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Nº de ref. de la librería HTANDREE0275204

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Broman, Karl W.; Sen, Saunak
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ISBN 10: 0387921249 ISBN 13: 9780387921242
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Descripción Springer-Verlag New York Inc. 2009-07-20, New York, NY, 2009. hardback. Estado de conservación: New. Nº de ref. de la librería 9780387921242

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Descripción Springer-Verlag New York Inc., 2009. HRD. 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 I1-9780387921242

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Descripción Springer-Verlag New York Inc., United States, 2009. Hardback. Estado de conservación: New. 236 x 165 mm. Language: English . Brand New Book. Comprehensive discussion of QTL mapping concepts and theory Detailed instructions on the use of the R/qtl software, the most featured and flexible software for QTL mapping Two case studies illustrate QTL analysis in its entirety. Nº de ref. de la librería LIB9780387921242

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Descripción Springer-Verlag New York Inc., 2009. HRD. Estado de conservación: New. New Book. Delivered from our US warehouse in 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. de la librería I1-9780387921242

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Broman, Karl W.; Sen, Saunak
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Descripción Springer, 2016. Paperback. Estado de conservación: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Nº de ref. de la librería ria9780387921242_lsuk

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Broman, Karl W.; Sen, Saunak
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Descripción Springer, 2009. Hardcover. Estado de conservación: New. 2009. This item is printed on demand. Nº de ref. de la librería DADAX0387921249

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Descripción Springer-Verlag Gmbh Aug 2009, 2009. Buch. Estado de conservación: Neu. 245x164x25 mm. Neuware - Quantitative trait locus (QTL) mapping is used to discover the genetic and molecular architecture underlying complex quantitative traits. It has important applications in agricultural, evolutionary, and biomedical research. R/qtl is an extensible, interactive environment for QTL mapping in experimental crosses. It is implemented as a package for the widely used open source statistical software R and contains a diverse array of QTL mapping methods, diagnostic tools for ensuring high-quality data, and facilities for the fit and exploration of multiple-QTL models, including QTL x QTL and QTL x environment interactions. This book is a comprehensive guide to the practice of QTL mapping and the use of R/qtl, including study design, data import and simulation, data diagnostics, interval mapping and generalizations, two-dimensional genome scans, and the consideration of complex multiple-QTL models. Two moderately challenging case studies illustrate QTL analysis in its entirety.The book alternates between QTL mapping theory and examples illustrating the use of R/qtl. Novice readers will find detailed explanations of the important statistical concepts and, through the extensive software illustrations, will be able to apply these concepts in their own research. Experienced readers will find details on the underlying algorithms and the implementation of extensions to R/qtl. There are 150 figures, including 90 in full color. Karl W. Broman is Professor in the Department of Biostatistics and Medical Informatics at the University of Wisconsin-Madison, and is the chief developer of R/qtl. Saunak Sen is Associate Professor in Residence in the Department of Epidemiology and Biostatistics and the Center for Bioinformatics and Molecular Biostatistics at the University of California, San Francisco. 400 pp. Englisch. Nº de ref. de la librería 9780387921242

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Broman, Karl W.; Sen, Saunak
Editorial: Springer-Verlag Gmbh Aug 2009 (2009)
ISBN 10: 0387921249 ISBN 13: 9780387921242
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Descripción Springer-Verlag Gmbh Aug 2009, 2009. Buch. Estado de conservación: Neu. 245x164x25 mm. Neuware - Quantitative trait locus (QTL) mapping is used to discover the genetic and molecular architecture underlying complex quantitative traits. It has important applications in agricultural, evolutionary, and biomedical research. R/qtl is an extensible, interactive environment for QTL mapping in experimental crosses. It is implemented as a package for the widely used open source statistical software R and contains a diverse array of QTL mapping methods, diagnostic tools for ensuring high-quality data, and facilities for the fit and exploration of multiple-QTL models, including QTL x QTL and QTL x environment interactions. This book is a comprehensive guide to the practice of QTL mapping and the use of R/qtl, including study design, data import and simulation, data diagnostics, interval mapping and generalizations, two-dimensional genome scans, and the consideration of complex multiple-QTL models. Two moderately challenging case studies illustrate QTL analysis in its entirety.The book alternates between QTL mapping theory and examples illustrating the use of R/qtl. Novice readers will find detailed explanations of the important statistical concepts and, through the extensive software illustrations, will be able to apply these concepts in their own research. Experienced readers will find details on the underlying algorithms and the implementation of extensions to R/qtl. There are 150 figures, including 90 in full color. Karl W. Broman is Professor in the Department of Biostatistics and Medical Informatics at the University of Wisconsin-Madison, and is the chief developer of R/qtl. Saunak Sen is Associate Professor in Residence in the Department of Epidemiology and Biostatistics and the Center for Bioinformatics and Molecular Biostatistics at the University of California, San Francisco. 400 pp. Englisch. Nº de ref. de la librería 9780387921242

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