Bioinformatics in Agriculture

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