Genomic Intelligence : Metagenomics and Artificial Intelligence

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Genomic Intelligence : Metagenomics and Artificial Intelligence

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  • 製本 Hardcover:ハードカバー版/ページ数 328 p.
  • 言語 ENG
  • 商品コード 9781032943411
  • DDC分類 572.8629

Full Description

The field of metagenomics has revolutionized our comprehension of microbial diversity and function across various habitats, from the human body to terrestrial and aquatic environments. Simultaneously, advancements in AI have empowered researchers to analyze vast troves of genomic data with unprecedented speed and precision, facilitating new insights into the complex interplay between microorganisms and their surroundings.

The subject matter in this book provides an overview of metagenomics and discusses the combination of metagenomics and AI and its significant consequences for advancements in science. The chapters examine the approaches, difficulties, and revolutionary uses of AI in metagenomics and provide insight into the convergence of genomics, metagenomics, and AI's potential to revolutionize diverse fields from healthcare to environmental.

Print edition not for sale in India.

Contents

Preface

About the Editors

1. Exploring the Intersection of Metagenomics and Artificial Intelligence

2. Metagenomics and AI: A Synergistic Approach to Data-Driven Insights

3. Techniques for Metagenomic Data Collection and Sequencing

4. Computational Challenges in Metagenomic Data Analysis

5. Machine Learning for Taxonomic Classification of Microbiomes

6. Predictive Modelling of Microbial Communities Using Deep Learning

7. Functional Profiling of Microbial Communities through AI Approaches

8. Enzyme Annotation and Pathway Reconstruction with Machine Learning

9. Metagenomics and Host-Microbiome Interactions in Disease

10. AI-Powered Predictive Modelling for Disease Diagnostics

11. Metagenomic Insights into Ecosystems and Environmental Dynamics

12. AI-Driven Analysis of Environmental Metagenomic Data

13. Constructing and Analysing Microbial Interaction Networks Using AI

14. Integrative Approaches: Combining Metagenomics and Network Science

15. Mining Metagenomic Data for Novel Functional Genes Using AI

16. AI-driven Bioprospecting of Microbial Resources

17. Ethical Issues in AI-Enhanced Metagenomic Research

18. Legal Frameworks for Data Privacy and Ownership in Metagenomics

19. Emerging Trends in Metagenomics and AI Integration

20. AI-Metagenomics Fusion: Paving the Way for Precision Microbiomics

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