| 书目名称 | Genome-Wide Association Studies and Genomic Prediction |
| 编辑 | Cedric Gondro,Julius van der Werf,Ben Hayes |
| 视频video | |
| 概述 | Examines genome-wide association studies, from the preliminary issues to statistical approaches and more.Features detailed, step-by-step instruction.Includes tips and expert implementation advice to e |
| 丛书名称 | Methods in Molecular Biology |
| 图书封面 |  |
| 描述 | 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 |
| 出版日期 | Book 2013 |
| 关键词 | Computational methods; GWAS; Genome analysis; Genome-wide association study; Genomic prediction; Phenotyp |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-62703-447-0 |
| isbn_softcover | 978-1-4939-5964-8 |
| isbn_ebook | 978-1-62703-447-0Series ISSN 1064-3745 Series E-ISSN 1940-6029 |
| issn_series | 1064-3745 |
| copyright | Springer Science+Business Media, LLC 2013 |
发表于 2025-3-21 17:45:02
