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…mehr
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.
Dr. Minu Kesheri graduated with a Ph.D. degree from Banaras Hindu University, Varanasi, Uttar Pradesh, India. She was a Postdoctoral Fellow at Boise State University, Boise, Idaho, USA. She had scientific stays at the University of Bordeaux campus in France, Poland, Switzerland, Germany, Spain and Belgium where she delivered invited talks, presented posters, attended workshops and chaired sessions at conferences. She was former Assistant Professor and Head of Biological and Environmental Sciences Department in India at Shridhar University, Presidency University, and Amity University. She won fundings as Principal Investigator and was awarded as young scientist. She is currently working as Research Associate at Department of Biomedical Sciences, Joan C. Edwards School of Medicine, Marshall University, Huntington, West Virginia, USA. She has high impact peer-reviewed international publications in the form of research articles, book chapters, and books. She is the reviewer and editorial board member of international scientific journals and committees. Dr. Swarna Kanchan graduated with a Ph.D. degree from Birla Institute of Technology and Science, Pilani, Rajasthan, India. He worked as a Postdoctoral Fellow at several Universities as INRIA Bordeaux in collaboration with University of Bordeaux, France; Nencki Institute of Experimental Biology, Warsaw, Poland and Boise State University, Boise, Idaho, USA. He worked as an Assistant Professor at the Department of Life Sciences, Presidency University, India. He is currently a Staff Scientist at the Bioinformatics core, Department of Biomedical Sciences, Joan C. Edwards School of Medicine, Marshall University, Huntington, West Virginia, USA. He has published several peer-reviewed research articles, book chapters and books with international publishers. He is the reviewer and editorial board member of international scientific journals and committees. He has delivered invited lectures, presented posters and attendedworkshops at national and international institutions in India, France, Germany, Switzerland, Poland and the United States of America. Dr. Travis B. Salisbury received a Ph.D. degree from Kent State University, Kent, Ohio, USA. He was a Postdoctoral Fellow at Case Western School of Medicine and Washington State University. He is currently working as an Associate Professor and Director of Genomics Core at the Department of Biomedical Sciences, Joan C. Edwards School of Medicine, Marshall University, Huntington, West Virginia, USA. Apart from teaching medical and graduate students he supervises an active laboratory and has more than a decade of experience in studies on the regulation of gene expression in response to signaling. He won several research grants as a Principal investigator from Marshall University, Pharmaceutical Manufacturers Association of America, WV-INBRE next-generation sequencing challenge grant, Cell Differentiation and Development Center grant, Edwards CancerFoundation, Edwards Comprehensive Cancer Center (ECCC) grant. He has numerous peer-reviewed international publications and has to his credit various oral and poster presentations at scientific platforms. Prof. Dr. Rajeshwar P. Sinha, DAAD Fellowship Awardee and Fellow, Society for Applied Biotechnology, India, is a Professor of Molecular Biology, Department of Botany, Banaras Hindu University (BHU), Varanasi, India. He is also an Adjunct Professor at University Center for Research & Development (UCRD), Chandigarh University, Chandigarh, India. He is working on Physiological, Biochemical, Molecular, Nanobiotechnological and Computational Biology aspects of cyanobacteria. His primary research focus is on UV-B radiation impacts on DNA damage and repair, Phycobiliproteins, Mycosporine-like amino acids, and Scytonemin etc. He has published over 490 research papers/reviews/book chapters/conference proceedings and edited/authored 12 books. He is a lifetime member of several national andinternational scientific societies and an editorial board member of various national and international journals. He has over 15600 citations with an h-index of 56 and i10-index of 146. He is among the top 02% most cited scientists in the world.
Inhaltsangabe
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.
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.
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