Buch, Englisch, 415 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 896 g
ISBN: 978-981-97-1768-2
Verlag: Springer Nature Singapore
This book describes the basic concepts and recent advances in new discoveries and technologies related to microbial omics and their role in environmental research and human health. The term "omics" refers to a blend of high-throughput analysis and traditional methods including genomics, transcriptomics, proteomics, lipidomics and metabolomics for a variety of applications in the field of life sciences, biomedical sciences, environmental sciences, and related industries. The book aims to fill the existing gap in terms of a comprehensive approach that incorporates recent advances in this dynamic field and provides an answer to why this field requires an interdisciplinary research approach.
The focus of this book is on the applications of genomics, epigenomics, metagenomics, integrative omics, machine learning and microbiome research in environmental health, disease, wastewater epidemiology, antibiotic resistance, drug discovery, cancer, production of secondary metabolites of microbial origin, oxidative stress alleviating mechanisms, etc. The overall construction of this book emphasizes three major perspectives, namely, elaborate knowledge from fundamentals to recent advances in technologies about omics in general and its application in microbiology, environment, and health in particular; illustrative figures capable of easy visualization of complex pathways; and serving as a platform for highly demanded bioinformatics strategies including relevant codes, programming scripts, machine learning and use of artificial intelligence strategies needed to streamline the research outcomes. With global contributions from authors from internationally renowned organizations who excel in relevant research, this book will benefit bibliophiles and prospective audiences from the research fraternity, academia, professionals, and experts in the field of life sciences, biomedical as well as industries related to the development of drug design and novel advances in biotechnological applications.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Biomedizin, Medizinische Forschung, Klinische Studien
- Geowissenschaften Umweltwissenschaften Umweltwissenschaften
- Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie
- Naturwissenschaften Biowissenschaften Biowissenschaften
Weitere Infos & Material
Chapter 1. Impact of the microbiome on cancer progression.- Chapter 2. Integrative Approaches to Understanding Microbial Communities: Insights from Omics Studies.- Chapter 3. Application of Omics in wastewater-based epidemiology as well as antibiotics resistance.- Chapter 4. Multi-omics Analysis Reveals Potential of Intratumor Microbiome in Predicting Cancer Treatment Response.- Chapter 5. Applications of multi-omics technologies in environmental health research.- Chapter 6. The Potential of Microbial Omics in Drug Discovery.- Chapter 7. Microbial Omics in Environmental Waste Management.- Chapter 8. Impact of the microbiome on genetic diseases.- Chapter 9. Advantages of meta-omics strategies in studying the gut microbiome can bring benefits to human health.- Chapter 10. Computational omics protocol for the comparative study of Microbiome Analysis.- Chapter 11. Plant-microbe interactions: An overview.- Chapter 12. Bioremediation – A boon for a sustainable environment.- Chapter 13. Role of microbial omics in alleviating oxidative stress.- Chapter 14. Advances in biotechnological applications of secondary metabolites of microbial origin.- Chapter 15. Recent advances in the Omics application for exploring human brain disorders.- Chapter 16. Recent advances in the production and biotechnological applications of Polyunsaturated fatty acids (PUFAs).- Chapter 17. Microalgal omics approach in understanding human health.- Chapter 18. Microbial multi-species symbiosis: a panomics view.- Chapter 19. Machine learning approaches for the diagnosis of Pre- and Post-COVID-19 phases.- Chapter 20. Current status and future strategy in crop improvement using epigenomics.- Chapter 21. Recent development in prokaryotic ribosome binding site prediction.