Genomics Data Analysis for Crop Improvement

Chapter 1. Statistical and Biological Data Analysis using Programming Languages.- Chapter 2. Python for Biologists.- Chapter 3. Assembly, Annotation and Visualization of NGS Data.- Chapter 4. Statistical and Quantitative Genetics Studies.- Chapter 5. Mapping of Quantitative Traits Loci: Harnessing Genomics Revolution for Dissecting Complex Traits.- Chapter 6. Trait Based Association Mapping in Plants.- Chapter 7. META-Analysis of Mapping Studies: Integrating QTLs Towards Candidate Gene Discovery.- Chapter 8. Role of Databases and Bioinformatics Tools in Crop Improvement.- Chapter 9. Overview of the Bioinformatics Databases and Tools for Genome Research and Crop Improvement.- Chapter 10. Public Domain Databases - A Gold Mine for Identification and Genome Reconstruction of Plant Viruses and Viroids.- Chapter 11. Tree Genome Databases: A New Era in the Development of Cyber-infrastructures for Forest Trees.- Chapter 12. Development of Biological Databases for Genomic Research.- Chapter 13. Artificial Intelligence in Genomic Studies.- Chapter 14. Basics of the Molecular Biology: From Genes to its Function.

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• Botânica e ciências das plantas
• Engenharia genética
• Produção de Agronomia e cultura
• A agricultura sustentável
• Genética (não médica)

genomic research;sustainable agriculture;association mapping;Plant breeding;biological data analysis;NSG data;non-coding RNA;annotation;bioinformatics;genetics;molecular biology;plant biology;QTL;database