A Guide to QTL Mapping with R/qtl PDF Download

Author: Karl W. Broman
Publisher: Springer
ISBN: 9781461417088
Category : Science
Languages : en
Pages : 400

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Book Description
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

Author: Karl W. Broman
Publisher: Springer Science & Business Media
ISBN: 0387921257
Category : Science
Languages : en
Pages : 401

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Book Description
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

Author: N. Manikanda Boopathi
Publisher: Springer Nature
ISBN: 9811529493
Category : Medical
Languages : en
Pages : 504

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Book Description
The first edition of this book, Genetic Mapping and Marker Assisted Selection: Basics, Practice and Benefits, was widely appreciated as the first of its kind on this topic and has been listed as a reference work in several agricultural universities’ curricula. A great deal has happened over the last five years, making it high time to incorporate recent developments in genetic mapping and report on novel strategies in marker assisted selection in crop plants as a second edition. This book addresses a range of topics, including: new marker types and their genotyping methods based on high-throughput technologies, advances in genomics and their role in new marker development, improvements in genetic mapping strategies and software updates, developments in phenomics and their applications in QTL mapping, and how to incorporate these developments and advances in marker assisted selection in crop plants. Similar to the first edition, each technique and method is explained using a step-by-step method, allowing the book to serve as a self-study guide for scholars whose work involves the genetic improvement of crop plants for any trait of interest, particularly for biotic and abiotic stress resistance. In addition, the book offers a valuable guide for undergraduate and graduate students at agricultural universities and institutes that are interested and/or involved in the genetic improvement of crop plants using modern tools. In addition, the bibliography includes a list of suggested works for pursuing further research on the topics covered.

Author: Ben Hui Liu
Publisher: CRC Press
ISBN: 1351414534
Category : Mathematics
Languages : en
Pages : 642

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Book Description
Genomics, the mapping of the entire genetic complement of an organism, is the new frontier in biology. This handbook on the statistical issues of genomics covers current methods and the tried-and-true classical approaches.

Author: Mark Chang
Publisher: Springer Science & Business Media
ISBN: 144199842X
Category : Medical
Languages : en
Pages : 316

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Book Description
Classic biostatistics, a branch of statistical science, has as its main focus the applications of statistics in public health, the life sciences, and the pharmaceutical industry. Modern biostatistics, beyond just a simple application of statistics, is a confluence of statistics and knowledge of multiple intertwined fields. The application demands, the advancements in computer technology, and the rapid growth of life science data (e.g., genomics data) have promoted the formation of modern biostatistics. There are at least three characteristics of modern biostatistics: (1) in-depth engagement in the application fields that require penetration of knowledge across several fields, (2) high-level complexity of data because they are longitudinal, incomplete, or latent because they are heterogeneous due to a mixture of data or experiment types, because of high-dimensionality, which may make meaningful reduction impossible, or because of extremely small or large size; and (3) dynamics, the speed of development in methodology and analyses, has to match the fast growth of data with a constantly changing face. This book is written for researchers, biostatisticians/statisticians, and scientists who are interested in quantitative analyses. The goal is to introduce modern methods in biostatistics and help researchers and students quickly grasp key concepts and methods. Many methods can solve the same problem and many problems can be solved by the same method, which becomes apparent when those topics are discussed in this single volume.

Author: Thomas Hamelryck
Publisher: Springer
ISBN: 3642272258
Category : Medical
Languages : en
Pages : 399

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Book Description
This book is an edited volume, the goal of which is to provide an overview of the current state-of-the-art in statistical methods applied to problems in structural bioinformatics (and in particular protein structure prediction, simulation, experimental structure determination and analysis). It focuses on statistical methods that have a clear interpretation in the framework of statistical physics, rather than ad hoc, black box methods based on neural networks or support vector machines. In addition, the emphasis is on methods that deal with biomolecular structure in atomic detail. The book is highly accessible, and only assumes background knowledge on protein structure, with a minimum of mathematical knowledge. Therefore, the book includes introductory chapters that contain a solid introduction to key topics such as Bayesian statistics and concepts in machine learning and statistical physics.

Author: Andrea S. Foulkes
Publisher: Springer Science & Business Media
ISBN: 038789554X
Category : Science
Languages : en
Pages : 264

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Book Description
Statistical genetics has become a core course in many graduate programs in public health and medicine. This book presents fundamental concepts and principles in this emerging field at a level that is accessible to students and researchers with a first course in biostatistics. Extensive examples are provided using publicly available data and the open source, statistical computing environment, R.

Author: Alain Zuur
Publisher: Springer
ISBN: 0387459723
Category : Science
Languages : en
Pages : 686

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Book Description
This book provides a practical introduction to analyzing ecological data using real data sets. The first part gives a largely non-mathematical introduction to data exploration, univariate methods (including GAM and mixed modeling techniques), multivariate analysis, time series analysis, and spatial statistics. The second part provides 17 case studies. The case studies include topics ranging from terrestrial ecology to marine biology and can be used as a template for a reader’s own data analysis. Data from all case studies are available from www.highstat.com. Guidance on software is provided in the book.

Author: Rongling Wu
Publisher: Springer Science & Business Media
ISBN: 038768154X
Category : Science
Languages : en
Pages : 371

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Book Description
This book introduces the basic concepts and methods that are useful in the statistical analysis and modeling of the DNA-based marker and phenotypic data that arise in agriculture, forestry, experimental biology, and other fields. It concentrates on the linkage analysis of markers, map construction and quantitative trait locus (QTL) mapping, and assumes a background in regression analysis and maximum likelihood approaches. The strength of this book lies in the construction of general models and algorithms for linkage analysis, as well as in QTL mapping in any kind of crossed pedigrees initiated with inbred lines of crops.

Author: Peter Dalgaard
Publisher: Springer Science & Business Media
ISBN: 0387790543
Category : Mathematics
Languages : en
Pages : 364

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Book Description
This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. All examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis.