{"product_id":"genome-wide-association-studies-davoud-torkamaneh-9781071622360","title":"Genome-Wide Association Studies","description":"\u003cp\u003e\u003cb\u003ePart I: \u003c\/b\u003e\u003cb\u003eReviews and Overviews\u003c\/b\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1. Designing a Genome-Wide Association Study: Main Steps and Critical Decisions\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e François Belzile and Davoud Torkamaneh\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e2. Preparation and Curation of Phenotypic Datasets\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Santiago Alvarez Prado, Fernando Hernandez, Ana Laura Achilli, and Agustina Amelong\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e3. Genotyping Platforms for Genome-Wide Association Studies: Options and Practical Considerations\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e David L. Hyten\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e4. Genome-Wide Association Study Statistical Models: A Review\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Mohsen Yoosefzadeh-Najafabadi, Milad Eskandari, Francois Belzile, and Davoud Torkamaneh\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e5. Interpretation of Manhattan Plots and Other Outputs of Genome-Wide Association Studies\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Jiabo Wang, Jianming Yu, Alexander E. Lipka, and Zhiwu Zhang\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II: \u003c\/b\u003e\u003cb\u003ePhenotypic Data for GWAS\u003c\/b\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6. Preparation and Curation of Multi-Year, Multi-Location, Multi-Trait Datasets\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Amina Abed and Zakaria Kehel\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e7. \u003c\/b\u003e\u003cb\u003eDevelopment, Preparation, and Curation of High-Throughput Phenotypic Data for Genome-Wide Association Studies: A Sample Pipeline in R\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Pasquale Tripodi\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e8. Preparation and Curation of Omics Data for Genome-Wide Association Studies\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Feng Zhu, Alisdair R. Fernie, and Federico Scossa\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III: \u003c\/b\u003e\u003cb\u003eGenotypic Data and Assessment of Population Structure\u003c\/b\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9. Producing High-Quality Single Nucleotide Polymorphism Data for Genome-Wide Association Studies\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Philipp E. Bayer, Mitchell Gill, Monica F. Danilevicz, and David Edwards\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e10. A Practical Guide to Using Structural Variants for Genome-Wide Association Studies\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Marc-André Lemay and Sidiki Malle\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e11. Data Integration, Imputation, and Meta-Analysis for Genome-Wide Association Studies\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Reem Joukhadar and Hans D. Daetwyler\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e12. Population Structure and Relatedness for Genome-Wide Association Studies\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Sidiki Malle\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart IV: \u003c\/b\u003e\u003cb\u003eBioinformatics Tools for GWAS\u003c\/b\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13. Performing Genome-Wide Association Studies with Multiple Models Using GAPIT\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Jiabo Wang, You Tang, and Zhiwu Zhang\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e14. Performing Genome-Wide Association Studies Using rMVP\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Xiaolei Liu, Lilin Yin, Haohao Zhang, Xinyun Li, and Shuhong Zhao\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart V: \u003c\/b\u003e\u003cb\u003eIdentification of Candidate Genes and Validation\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e15. Identification and Validation of Candidate Genes from Genome-Wide Association Studies\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Elise Albert and Christopher Sauvage\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e16. Bipare\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Davoud Torkamaneh\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1071622366\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781071622360\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Humana\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 06\/01\/2022\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 371\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.95lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 10.00h x 7.00w x 0.88d\u003c\/b\u003e\u003c\/p\u003e","brand":"Davoud Torkamaneh","offers":[{"title":"Hardcover","offer_id":44075512529151,"sku":"9781071622360","price":249.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_29986ced-3354-42d1-9878-430555bf2916.jpg?v=1685459865","url":"https:\/\/www.whiterainbookhouse.com\/products\/genome-wide-association-studies-davoud-torkamaneh-9781071622360","provider":"WR Book House","version":"1.0","type":"link"}