A Guide to QTL Mapping with R/qtl PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download A Guide to QTL Mapping with R/qtl PDF full book. Access full book title A Guide to QTL Mapping with R/qtl by Karl W. Broman. Download full books in PDF and EPUB format.
Author: Karl W. Broman
Publisher: Springer
ISBN: 9781461417088
Category : Science
Languages : en
Pages : 400
Get Book Here
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
ISBN: 9781461417088
Category : Science
Languages : en
Pages : 400
Get Book Here
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
Get Book Here
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: Xinghua Mindy Shi
Publisher: Humana
ISBN: 9781071600283
Category : Science
Languages : en
Pages : 252
Get Book Here
Book Description
This volume details state-of-art eQTL analysis, where interdisciplinary researchers are provided both theoretical and practical guidance to eQTL analysis and interpretation. Chapters guide readers through methods and tools for eQTL and QTL analysis and the usage of such analysis in various scenarios. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, eQTL Analysis: Methods and Protocols to ensure successful results in the further study of this vital field.
Author: Nnadozie C. Oraguzie
Publisher: Springer Science & Business Media
ISBN: 0387360115
Category : Science
Languages : en
Pages : 290
Get Book Here
Book Description
This book provides both basic and advanced understanding of association mapping and an awareness of population genomics tools to facilitate mapping and identification of the underlying causes of quantitative trait variation in plants. It acts as a useful review of the marker technology, the statistical methodology, and the progress to date. It also offers guides to the use of single nucleotide polymorphisms (SNPs) in association studies.
Author: Pushpendra K. Gupta
Publisher: Springer Science & Business Media
ISBN: 9400764014
Category : Technology & Engineering
Languages : en
Pages : 440
Get Book Here
Book Description
“Cereal Genomics” published in 2004 served the purpose of collecting all information on cereal genomics at one place and was well received by the cereal workers through-out the world. The last eight years have witnessed significant advancement in the field of cereal genomics. For instance, high-density genetic maps, physical maps, QTL maps and even draft genome sequence have become available for several cereal species. Furthermore, the next generation sequencing (NGS) technologies have revolutionized genomics research, so that it is possible now to sequence genomes of hundreds or thousands of accessions of an individual cereal crop. Significant amounts of data generated using these NGS technologies created a demand for computational tools to analyse this massive data. In view of these developments, the Editors realised that there was a need to have an updated volume on the present status and future prospects of cereal genomics. These developments related to technology and the tools have been documented in this volume, thus supplementing our earlier edited volume “Cereal Genomics”. “Cereal Genomics II” discusses advances in cereal genomics research made during the last eight years, and presents state-of-art cereal genomics and its utilization involving both basic research such as comparative genomics and functional genomics, and applied research like QTL mapping and molecular breeding.
Author: Michael J. Crawley
Publisher: John Wiley & Sons
ISBN: 9780470515068
Category : Mathematics
Languages : en
Pages : 953
Get Book Here
Book Description
The high-level language of R is recognized as one of the mostpowerful and flexible statistical software environments, and israpidly becoming the standard setting for quantitative analysis,statistics and graphics. R provides free access to unrivalledcoverage and cutting-edge applications, enabling the user to applynumerous statistical methods ranging from simple regression to timeseries or multivariate analysis. Building on the success of the author’s bestsellingStatistics: An Introduction using R, The R Book ispacked with worked examples, providing an all inclusive guide to R,ideal for novice and more accomplished users alike. The bookassumes no background in statistics or computing and introduces theadvantages of the R environment, detailing its applications in awide range of disciplines. Provides the first comprehensive reference manual for the Rlanguage, including practical guidance and full coverage of thegraphics facilities. Introduces all the statistical models covered by R, beginningwith simple classical tests such as chi-square and t-test. Proceeds to examine more advance methods, from regression andanalysis of variance, through to generalized linear models,generalized mixed models, time series, spatial statistics,multivariate statistics and much more. The R Book is aimed at undergraduates, postgraduates andprofessionals in science, engineering and medicine. It is alsoideal for students and professionals in statistics, economics,geography and the social sciences.
Author: Benjamin Neale
Publisher: Garland Science
ISBN: 1134129335
Category : Science
Languages : en
Pages : 607
Get Book Here
Book Description
Statistical Genetics is an advanced textbook focusing on conducting genome-wide linkage and association analysis in order to identify the genes responsible for complex behaviors and diseases. Starting with an introductory section on statistics and quantitative genetics, it covers both established and new methodologies, providing the genetic and statistical theory on which they are based. Each chapter is written by leading researchers, who give the reader the benefit of their experience with worked examples, study design, and sources of error. The text can be used in conjunction with an associated website (www.genemapping.org) that provides supplementary material and links to downloadable software.
Author: Warren J. Ewens
Publisher: Springer Science & Business Media
ISBN: 0387400826
Category : Science
Languages : en
Pages : 616
Get Book Here
Book Description
Advances in computers and biotechnology have had a profound impact on biomedical research, and as a result complex data sets can now be generated to address extremely complex biological questions. Correspondingly, advances in the statistical methods necessary to analyze such data are following closely behind the advances in data generation methods. The statistical methods required by bioinformatics present many new and difficult problems for the research community. This book provides an introduction to some of these new methods. The main biological topics treated include sequence analysis, BLAST, microarray analysis, gene finding, and the analysis of evolutionary processes. The main statistical techniques covered include hypothesis testing and estimation, Poisson processes, Markov models and Hidden Markov models, and multiple testing methods. The second edition features new chapters on microarray analysis and on statistical inference, including a discussion of ANOVA, and discussions of the statistical theory of motifs and methods based on the hypergeometric distribution. Much material has been clarified and reorganized. The book is written so as to appeal to biologists and computer scientists who wish to know more about the statistical methods of the field, as well as to trained statisticians who wish to become involved with bioinformatics. The earlier chapters introduce the concepts of probability and statistics at an elementary level, but with an emphasis on material relevant to later chapters and often not covered in standard introductory texts. Later chapters should be immediately accessible to the trained statistician. Sufficient mathematical background consists of introductory courses in calculus and linear algebra. The basic biological concepts that are used are explained, or can be understood from the context, and standard mathematical concepts are summarized in an Appendix. Problems are provided at the end of each chapter allowing the reader to develop aspects of the theory outlined in the main text. Warren J. Ewens holds the Christopher H. Brown Distinguished Professorship at the University of Pennsylvania. He is the author of two books, Population Genetics and Mathematical Population Genetics. He is a senior editor of Annals of Human Genetics and has served on the editorial boards of Theoretical Population Biology, GENETICS, Proceedings of the Royal Society B and SIAM Journal in Mathematical Biology. He is a fellow of the Royal Society and the Australian Academy of Science. Gregory R. Grant is a senior bioinformatics researcher in the University of Pennsylvania Computational Biology and Informatics Laboratory. He obtained his Ph.D. in number theory from the University of Maryland in 1995 and his Masters in Computer Science from the University of Pennsylvania in 1999. Comments on the first edition: "This book would be an ideal text for a postgraduate course...[and] is equally well suited to individual study.... I would recommend the book highly." (Biometrics) "Ewens and Grant have given us a very welcome introduction to what is behind those pretty [graphical user] interfaces." (Naturwissenschaften) "The authors do an excellent job of presenting the essence of the material without getting bogged down in mathematical details." (Journal American Statistical Association) "The authors have restructured classical material to a great extent and the new organization of the different topics is one of the outstanding services of the book." (Metrika)
Author: Aik Chin Soh
Publisher: CRC Press
ISBN: 1351646044
Category : Science
Languages : en
Pages : 476
Get Book Here
Book Description
The oil palm is a remarkable crop, producing around 40% of the world’s vegetable oil from around 6% of the land devoted to oil crops. Conventional breeding has clearly been the major focus of genetic improvement in this crop. A mix of improved agronomy and management, coupled with breeding selection have quadrupled the oil yield of the crop since breeding began in earnest in the 1920s. However, as for all perennial crops with long breeding cycles, oil palm faces immense challenges in the coming years with increased pressure from population growth, climate change and the need to develop environmentally sustainable oil palm plantations. In Oil Palm: Breeding, Genetics and Genomics, world leading organizations and individuals who have been at the forefront of developments in this crop, provide their insights and experiences of oil palm research, while examining the different challenges that face the future of the oil palm. The editors have all been involved in research and breeding of oil palm for many years and use their knowledge of the crop and their disciplinary expertise to provide context and to introduce the different research topics covered.
Author: N. Manikanda Boopathi
Publisher:
ISBN: 9789811529504
Category : Electronic books
Languages : en
Pages :
Get Book Here
Book Description
This book details basics in genetic linkage mapping, step-by-step procedures to perform marker assisted selection (MAS), achievements made so far in different crops, and the limitations and prospects of MAS in plant breeding.
