This book highlights the latest breakthrough developments in bioinformatics. It presents a series of timely, in-depth reviews, drug clinical trial studies, biodiversity informatics and thematic issues. In addition, it includes insightful reviews on advances in computational molecular/structural biology, which address areas such as computing in biomedicine and genomics, computational proteomics and systems biology, and metabolic pathway engineering. Innovations in these fields have direct impacts on key issues related to healthcare, medicine, genetic disorders, the development of agricultural products, renewable energy, and environmental protection. Written by respected leaders in the field and covering a wide range of topics involving the integration of biology with computer and information science, the book offers an ideal basis for teaching at the undergraduate and graduate levels. It can also be used for self-instruction by research investigators interested in applying bioinformatics-based analytical methods and information technologists working with academic and industrial laboratories.

New Insights, Trends and Challenges in the Development and Applications of Microbial Inoculants in Agriculture provides information about how to develop high-quality microbial inoculants (biofertilizers and biopesticides) for increasing crop yields and quality and reducing the economic, environmental and health costs of food production. The book's chapters discuss cutting-edge approaches and techniques to develop bioformulations as reliable, viable solutions for food production, including the importance of a legal framework to guarantee the quality and safety of these bio-products. Additionally, it provides information on the current limitations and future approaches to enhance microbial inoculant development for contributing to global food security. Interest in biofertilizers and the potential for their use in sustainable agriculture is increasing. However, many commercial bioproducts are low quality due to the lack of quality standards which causes a decrease in efficiency, high variability in the field, and loss of confidence from farmers. Presents new updates that are based on new research and approaches in the production of microbial inoculants Focuses on the needs of readers, covering key steps and points that should not be overlooked Links scientific and practical knowledge so readers can apply the knowledge acquired in their research on the development of biofertilizers and biopesticides Helps companies can their inoculant production processes Provides updates on how the criteria and selection of bioproducts based on PGPM can increase efficiency of crops through correct application and evaluation of plant performance

Over the past 15 years, there have been rapid and ever-increasing advances in science and technology, institutional and human capacities and infrastructure in the field of gene sequencing and in the associated bioinformatics (the application of information technology and computer science to the field of molecular biology) and high-performance computing. This publication provides an update on recent developments in biotechnologies relevant to the characterization, sustainable use and conservation of genetic resources for food and agriculture.

Bioinformatics and Computational Biology: Technological Advancements, Applications and Opportunities is an invaluable resource for general and applied researchers who analyze biological data that is generated, at an unprecedented rate, at the global level. After careful evaluation of the requirements for current trends in bioinformatics and computational biology, it is anticipated that the book will provide an insightful resource to the academic and scientific community. Through a myriad of computational resources, algorithms, and methods, it equips readers with the confidence to both analyze biological data and estimate predictions. The book offers comprehensive coverage of the most essential and emerging topics: Cloud-based monitoring of bioinformatics multivariate data with cloud platforms Machine learning and deep learning in bioinformatics Quantum machine learning for biological applications Integrating machine learning strategies with multiomics to augment prognosis in chronic diseases Biomedical engineering Next generation sequencing techniques and applications Computational systems biology and molecular evolution While other books may touch on some of the same issues and nuances of biological data analysis, they neglect to feature bioinformatics and computational biology exclusively, and as exhaustively. This book's abundance of several subtopics related to almost all of the regulatory activities of biomolecules from where real data is being generated brings an added dimension.

This book offers a unique balance between a basic introductory knowledge of bioinformatics and a detailed study of algorithmic techniques. Bioinformatics and RNA: A Practice-Based Approach is a complete guide on the fundamental concepts, applications, algorithms, protocols, new trends, challenges, and research results in the area of bioinformatics and RNA. The book offers a broad introduction to the explosively growing new discipline of bioinformatics. It covers theoretical topics along with computational algorithms. It explores RNA bioinformatics, which contribute to therapeutics and drug discovery. Implementation of algorithms in a DotNet Framework with code and complete insight on the state-of-the-art and recent advancements are presented in detail. The book targets both novice readers as well as practitioners in the field. FEATURES Offers a broad introduction to the explosively growing new discipline of bioinformatics Covers theoretical topics and computational algorithms Explores RNA bioinformatics to unleash the potential from therapeutics to drug discovery Discusses implementation of algorithms in DotNet Frameworks with code Presents insights into the state of the art and recent advancements in bioinformatics The book is useful to undergraduate students with engineering, science, mathematics, or biology backgrounds. Researchers will be equally interested.

This book introduces to blockchain and deep learning and explores and illustrates the current and new trends that integrate them. The pace and speeds for connectivity are certain on the ascend. Blockchain and deep learning are twin technologies that are integral to integrity and relevance of network contents. Since they are data-driven technologies, rapidly growing interests exist to incorporate them in efficient and secure data sharing and analysis applications. Blockchain and deep learning are sentinel contemporary research technologies. This book provides a comprehensive reference for blockchain and deep learning by covering all important topics. It identifies the bedrock principles and forward projecting methodologies that illuminate the trajectory of developments for the decades ahead.