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Titlebook: Genome-Wide Association Studies; Davoud Torkamaneh,Fran?ois Belzile Book 2022 The Editor(s) (if applicable) and The Author(s), under exclu

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發(fā)表于 2025-3-21 18:38:32 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Genome-Wide Association Studies
編輯Davoud Torkamaneh,Fran?ois Belzile
視頻videohttp://file.papertrans.cn/383/382859/382859.mp4
概述Includes cutting-edge techniques.Provides step-by-step detail essential for reproducible results.Contains key implementation advice from the experts
叢書名稱Methods in Molecular Biology
圖書封面Titlebook: Genome-Wide Association Studies; Davoud Torkamaneh,Fran?ois Belzile Book 2022 The Editor(s) (if applicable) and The Author(s), under exclu
描述This detailed collection explores genome-wide association studies (GWAS), which have revolutionized the investigation of complex traits over the past decade and have unveiled numerous useful genotype–phenotype associations in plants. The book describes the key concepts and methods underlying GWAS, including the genetic architecture underlying variation for phenotypic traits, the structure of genetic variation in plants, technologies for capturing genetic information, study designs, and the statistical models and bioinformatics tools used for data analysis. Written for the highly successful .Methods in Molecular Biology. series, chapters include the kind of invaluable implementation advice that leads to the most fruitful research results.?.Authoritative and practical, .Genome-Wide Association Studies. serves as an extremely valuable resource for the plant research community by rendering GWAS analysis less challenging and more accessible to a broader group of users..
出版日期Book 2022
關(guān)鍵詞GWAS; Genotype-phenotype associations; Genetic variation in plants; Phenotypic data analysis; Genotypic
版次1
doihttps://doi.org/10.1007/978-1-0716-2237-7
isbn_softcover978-1-0716-2239-1
isbn_ebook978-1-0716-2237-7Series ISSN 1064-3745 Series E-ISSN 1940-6029
issn_series 1064-3745
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Busines
The information of publication is updating

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發(fā)表于 2025-3-21 23:31:53 | 只看該作者
Interpretation of Manhattan Plots and Other Outputs of Genome-Wide Association Studiesgenome-wide significance threshold and the different appearance of Manhattan plots in single-locus and multiple-locus models; (3) exploration of population structure and kinship among individuals; (4) quantile–quantile (QQ) plot; (5) LD decay across the genome and LD between the associated markers a
板凳
發(fā)表于 2025-3-22 03:42:26 | 只看該作者
Development, Preparation, and Curation of High-Throughput Phenotypic Data for Genome-Wide Associatiove been done for phenotyping information. This chapter provides a guide for generating large-scale data related to the size and shape of fruits, leaves, seeds, and roots and for downstream analysis for curation and preparation of clean datasets, through removal of outliers and performing primary sta
地板
發(fā)表于 2025-3-22 05:24:10 | 只看該作者
Performing Genome-Wide Association Studies with Multiple Models Using GAPIT, and BLINK (Bayesian-information and Linkage-disequilibrium Iteratively Nested Keyway). Besides the availability of multiple models, GAPIT provides comprehensive functions for data quality control, data visualization, and publication-ready quality graphic outputs, such as Manhattan plots in rectang
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https://doi.org/10.1007/978-3-658-31961-8genome-wide significance threshold and the different appearance of Manhattan plots in single-locus and multiple-locus models; (3) exploration of population structure and kinship among individuals; (4) quantile–quantile (QQ) plot; (5) LD decay across the genome and LD between the associated markers a
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Marc Joseph Saugey Restoration,, and BLINK (Bayesian-information and Linkage-disequilibrium Iteratively Nested Keyway). Besides the availability of multiple models, GAPIT provides comprehensive functions for data quality control, data visualization, and publication-ready quality graphic outputs, such as Manhattan plots in rectang
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