Bioinformatics in Agriculture

Next Generation Sequencing Era
Herausgeber: Yadav, Dinesh; Gaur, R. K.; Sharma, Pradeep

• Broschiertes Buch

Produktbeschreibung

Bioinformatics in Agriculture: Next Generation Sequencing Era is a comprehensive volume presenting an integrated research and development approach to the practical application of genomics to improve agricultural crops. Exploring both the theoretical and applied aspects of computational biology, and focusing on the innovation processes, the book highlights the increased productivity of a translational approach. Presented in four sections and including insights from experts from around the world, the book includes: Section I: Bioinformatics and Next Generation Sequencing Technologies; Section II: Omics Application; Section III: Data mining and Markers Discovery; Section IV: Artificial Intelligence and Agribots. Bioinformatics in Agriculture: Next Generation Sequencing Era explores deep sequencing, NGS, genomic, transcriptome analysis and multiplexing, highlighting practices forreducing time, cost, and effort for the analysis of gene as they are pooled, and sequenced. Readers will gain real-world information on computational biology, genomics, applied data mining, machine learning, and artificial intelligence. This book serves as a complete package for advanced undergraduate students, researchers, and scientists with an interest in bioinformatics.

---

Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• Verlag: Elsevier Science & Technology
• Seitenzahl: 706
• Erscheinungstermin: 26. April 2022
• Englisch
• Abmessung: 214mm x 274mm x 45mm
• Gewicht: 1876g
• ISBN-13: 9780323897785
• ISBN-10: 0323897789
• Artikelnr.: 62276964

Inhaltsangabe

1. Advances in Agricultural Bioinformatics: Outlook of Multi-Omics
Approaches 2. Promises and Benefits ?of Omic approaches to Data driven
science industries 3. Bioinformatics intervention in functional genomics:
current status and future perspective - An overview 4. Genome informatics:
Present status and Future Prospects in agriculture 5. Genomics and its
applications for crop improvement why not here crop specific like cotton,
musrard, wheat 6. Genome-wide Predictions, Structural and Functional
Annotations of Plant Transcription Factor Gene Families: A Bioinformatics
Approach 7. Proteomics and their applications to understand the biology of
agricultural crops 8. Metabolomics and Sustainable Agriculture: Concepts,
Applications and Perspectives 9. Plant Metabolomics: A New Era in the
Advancement of Agricultural Research 10. Exploring NGS-based RNA-Seq
Transcriptomes of Crops Responding to Abiotic Stress 11. Identification of
novel RNAs in plants with the help of Next Generation Sequencing
Technologies 12. Molecular Evolution, Three Dimensional Structural
Characteristics, Mechanism of Action and Functions of Plant
Beta-galactosidases 13. Next generation genomics: toward decoding
domestication history of crops 14. In-silico identification of Small RNAs,
a tiny silent tool against agriculture pest 15. Bioinformatics-assisted
multi-omics approaches to improve the agronomic traits in cotton 16.
Omics-assisted Understanding of BPH Resistance in Rice: Current Updates and
Future Prospective 17. Contemporary Genomic Approaches in Modern
Agriculture for Improving Tomato Varieties 18. Characterization of drought
tolerance in maize Omics approaches 19. Deciphering the genomic hotspots in
wheat for key breeding traits using comparative and structural genomics 20.
Prospects of molecular markers for wheat improvement in post genomic era
21. Omics Approaches for Biotic, Abiotic and Quality Traits Improvement in
Potato (Solanum tuberosum L.) 22. Tea plant genome sequencing: prospect for
crop improvement through genomics tools 23. Next Generation Sequencing and
Viroid Research 24. Computational analysis for plants Virus
identification?Using Next Generation Sequencing 25. Microbial degradation
of herbicides in contaminated soils by following computational approaches
26. Chloroplast genome and Plant-Virus Interaction 27. Deciphering soil
microbiota using metagenomic approach for sustainable agriculture: An
overview 28. Concepts and Applications of Bioinformatics for Sustainable
Agriculture 29. Application of high throughput structural and functional
genomic technologies in crop nutrition research 30. Bioinformatics approach
for whole transcriptomics-based marker prediction in agriculture crops 31.
Computational approaches towards SNP discovery and its applications in
plant breeding 32. Bioinformatics intervention in identification and
development of molecular markers: An Overview 33. Deciphering comparative
and structural variation that regulates abiotic stress response 34. Deep
Learning Applied to Computational Biology and Agricultural Sciences 35.
Image processing based artificial intelligence system for rapid detection
of plant diseases 36. Uses and Applications of Artificial intelligence and
Big Data in agriculture: Smart Farming 37. Artificial Intelligence: The
future of Agricultural Sciences