Genomic Intelligence: Metagenomics and Artificial Intelligence

Chapter 1: Exploring the Intersection of Metagenomics and Artificial Intelligence
Chapter 2: Metagenomics and AI: A Synergistic Approach to Data-Driven Insights
Chapter 3: Techniques for Metagenomic Data Collection and Sequencing
Chapter 4: Computational Challenges in Metagenomic Data Analysis
Chapter 5: Machine Learning for Taxonomic Classification of Microbiomes
Chapter 6: Predictive Modelling of Microbial Communities using Deep Learning
Chapter 7: Functional Profiling of Microbial Communities through AI Approaches
Chapter 8: Enzyme Annotation and Pathway Reconstruction with Machine Learning
Chapter 9: Metagenomics and Host-Microbiome Interactions in Disease
Chapter 10: AI-Powered Predictive Modelling for Disease Diagnostics
Chapter 11: Metagenomic Insights into Ecosystems and Environmental Dynamics
Chapter 12: AI-driven Analysis of Environmental Metagenomic Data
Chapter 13: Constructing and Analysing Microbial Interaction Networks using AI
Chapter 14: Integrative Approaches: Combining Metagenomics and Network Science
Chapter 15: Mining Metagenomic Data for Novel Functional Genes using AI
Chapter 16: AI-Driven Bioprospecting of Microbial Resources
Chapter 17: Ethical Issues in AI-Enhanced Metagenomic Research
Chapter 18: Legal Frameworks for Data Privacy and Ownership in Metagenomics
Chapter 19: Emerging Trends in Metagenomics and AI Integration
Chapter 20: AI-Metagenomics Fusion: Paving the Way for Precision Microbiomics

1. Dr. Sheetanshu Gupta
2. Dr. Dhirendra Kumar
3. Dr Radhika Negi
4. Dr Ranjan Singh
5. Dr. Mohammad Javed Ansari
6. Dr. Shakuli Kashyap
7. Dr. Sudhir Mehrotra