Sandeep Tiwari – författare

Pan-genomics: Applications, Challenges, and Future Prospects covers current approaches, challenges and future prospects of pan-genomics. The book discusses bioinformatics tools and their applications and focuses on bacterial comparative genomics in order to leverage the development of precise drugs and treatments for specific organisms. The book is divided into three sections: the first, an "overview of pan-genomics and common approaches,� brings the main concepts and current approaches on pan-genomics research; the second, "case studies in pan-genomics,� thoroughly discusses twelve case, and the last, "current approaches and future prospects in pan-multiomics�, encompasses the developments on omics studies to be applied on bacteria related studies.

This book is a valuable source for bioinformaticians, genomics researchers and several members of biomedical field interested in understanding further bacterial organisms and their relationship to human health.

Covers the entire spectrum of pangenomics, highlighting the use of specific approaches, case studies and future perspectives Discusses current bioinformatics tools and strategies for exploiting pangenomics data Presents twelve case studies with different organisms in order to provide the audience with real examples of pangenomics applicability

Reverse Vaccinology: Concept, Methods, and Advancement presents the development strategy of new vaccines through genome sequencing bioinformatics analysis. This book promises to revolutionize vaccine development, especially for pathogens to which the classical applications of Pasteur’s principles have failed, and it is explained in detail in this book.This book is split into three sections: the first, Concept, brings the basis of reverse vaccinology, vaccine antigen discovery, and subunit vaccine; the second, Tools and Methods, describes immunoinformatic, proteomics for epitope-vaccine design, databases, network analysis, machine learning, and NGS-driven antigen screening technology; and the last one, Disease Case Study, discusses real-world examples in the development of new vaccines for diverse diseases.It is a valuable resource for bioinformaticians, researchers, students, and members of the biomedical and medical fields who want to learn more about a new and agile process for the development of new vaccines.Explains the fundamentals of reverse vaccinology and how it can save time in the development of new vaccinesFocuses on the efforts to develop a vaccine candidate against various pathogens using computational approachesPresents databases and web servers for conducting reverse vaccinologyDescribes the screening process of potential vaccine candidate through machine learning