Bioinformatics and Computational Biology

1. Design and analysis of algorithms. 2. Sequence-based algorithms in Computational Biology. 3. Structure-based algorithms in Computational Biology. 4. Exact heuristics and other algorithms in computational biology. 5. Cloud Based Monitoring of Bioinformatics Multivariate Data with Cloud Platforms. 6. Machine learning and deep learning in Bioinformatics. 6. Machine learning and deep learning in Bioinformatics Bioinformatics and computational biology techniques. 7. Quantum Machine Learning for Biological Applications. 8. Integrating Machine learning strategies with multiomics to augment prognosis of chronic diseases. 9. Deep learning piloted drug design: An advantageous alliance. 10. Drug Discovery by Deep Learning and Virtual Screening: Review and Case Study. 11. Gene regulation, DNA and RNA structure and sequencing. 12. Computational prediction of RNA binding proteins: features and models.15.Tools and Techniques in Structural Bioinformatics.16. Biotechnological, Industrial and Biopharmaceutical Research. 16. A Streamline to New face of Drug Discovery by Protein-Protein and Protein-Nucleic Acid Interactions. 17. From Proteins to Networks: Assembly, Interpretation, and Advances. 18. Higher order organization in biological systems: an introduction. 19. Advancement and applications of biomedical engineering in human health care. 20. Clinical Trials in the Realm of Health Informatics. 21. Application of genomics in Novel Microbial species Identification. 22. Next Generation Sequencing Data Analysis. 23. Computational Molecular Evolution: A Detailed View of Phylogenetic Methods. 24. Exploring Multifaceted Applications of Bioinformatics: An Overview. 25. Industrial and Biopharmaceutical Research in Bioinformatics. 26. Biotechnological, Agriculture, Industrial and Biopharmaceutical Research in Bioinformatics.