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Genome Wide Association Studies/ Davoud Torkamaneh and François Belzile.

By: Material type: TextSeries: Methods in molecular biologyPublication details: New York: Humana Press, 2022.Description: xiii, 371pISBN:
  • 9781071622391 (pbk.)
Subject(s): DDC classification:
  • 572.86 TOR/G
Contents:
Contents: 1. Designing a Genome-Wide Association Study: Main Steps and Critical Decisions 2. Preparation and Curation of Phenotypic Datasets 3. Genotyping Platforms for Genome-Wide Association Studies: Options and Practical Considerations 4. Genome-Wide Association Study Statistical Models: A Review 5. Interpretation of Manhattan Plots and Other Outputs of Genome-Wide Association Studies 6. Preparation and Curation of Multi-Year, Multi-Location, Multi-Trait Datasets 7. Development, Preparation, and Curation of High-Throughput Phenotypic Data for Genome-Wide Association Studies: A Sample Pipeline in R 8. Preparation and Curation of Omics Data for Genome-Wide Association Studies 9. Producing High-Quality Single Nucleotide Polymorphism Data for Genome-Wide Association Studies 10. A Practical Guide to Using Structural Variants for Genome-Wide Association Studies 11. Data Integration, Imputation, and Meta-Analysis for Genome-Wide Association Studies 12. Population Structure and Relatedness for Genome-Wide Association Studies 13. Performing Genome-Wide Association Studies with Multiple Models Using GAPIT 14. Performing Genome-Wide Association Studies Using rMVP 15. Identification and Validation of Candidate Genes from Genome-Wide Association Studies 16. Biparental Crossing and QTL Mapping for Genome-Wide Association Studies Validation 17. Development of Breeder Friendly KASP Markers from Genome-Wide Association Studies Results 18. Mapping Major Disease Resistance Genes in Soybean by Genome-Wide Association Studies 19. GWAS Case Studies in Wheat 20. Plant Microbiome-Based Genome-Wide Association Studies
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Contents:
1. Designing a Genome-Wide Association Study: Main Steps and Critical Decisions
2. Preparation and Curation of Phenotypic Datasets
3. Genotyping Platforms for Genome-Wide Association Studies: Options and Practical Considerations
4. Genome-Wide Association Study Statistical Models: A Review
5. Interpretation of Manhattan Plots and Other Outputs of Genome-Wide Association Studies
6. Preparation and Curation of Multi-Year, Multi-Location, Multi-Trait Datasets
7. Development, Preparation, and Curation of High-Throughput Phenotypic Data for Genome-Wide Association Studies: A Sample Pipeline in R
8. Preparation and Curation of Omics Data for Genome-Wide Association Studies
9. Producing High-Quality Single Nucleotide Polymorphism Data for Genome-Wide Association Studies
10. A Practical Guide to Using Structural Variants for Genome-Wide Association Studies
11. Data Integration, Imputation, and Meta-Analysis for Genome-Wide Association Studies
12. Population Structure and Relatedness for Genome-Wide Association Studies
13. Performing Genome-Wide Association Studies with Multiple Models Using GAPIT
14. Performing Genome-Wide Association Studies Using rMVP
15. Identification and Validation of Candidate Genes from Genome-Wide Association Studies
16. Biparental Crossing and QTL Mapping for Genome-Wide Association Studies Validation
17. Development of Breeder Friendly KASP Markers from Genome-Wide Association Studies Results
18. Mapping Major Disease Resistance Genes in Soybean by Genome-Wide Association Studies
19. GWAS Case Studies in Wheat
20. Plant Microbiome-Based Genome-Wide Association Studies

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