Genomics Data Analysis for Crop Improvement [E-Book] / edited by Priyanka Anjoy, Kuldeep Kumar, Girish Chandra, Kishor Gaikwad.
This book addresses complex problems associated with crop improvement programs, using a wide range of programming solutions, for genomics data handling and sustainable agriculture. It describes important concepts in genomics data analysis and sequence-based mapping approaches along with references....
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Full text |
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Personal Name(s): | Anjoy, Priyanka, editor |
Chandra, Girish, editor / Gaikwad, Kishor, editor / Kumar, Kuldeep, editor | |
Edition: |
1st edition 2024. |
Imprint: |
Singapore :
Springer,
2024
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Physical Description: |
XI, 374 pages 1 illustration (online resource) |
Note: |
englisch |
ISBN: |
9789819969135 |
DOI: |
10.1007/978-981-99-6913-5 |
Series Title: |
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Springer Protocols Handbooks
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Subject (LOC): |
- 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.