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Integrative Omics in Parkinson's Disease provides a comprehensive understanding of the current literature on high-throughput technologies relating to discoveries for Parkinson's disease etiology. This emerging field uses large omics datasets to investigate the etiology of Parkinson's disease and other forms of parkinsonism. The book traces the evolution of omics technologies from the discovery of monogenic Parkinson's disease forms. Chapters delve into genomics, transcriptomics, epigenomics, artificial intelligence, and gene-environment interactions. Furthermore, it examines the potential therapeutic applications of these advancements and provides insights into the future of omics research in Parkinson's disease. - Reviews evolution of omics technologies from the first identification of monogenic forms of Parkinson's disease - Outlines machine learning algorithm application to Parkinson's disease datasets - Reviews big datasets on gene-environment interactions, genomics, epigenetics, and transcriptomics - Identifies how the microbiome influences Parkinson's disease in mouse models and patients - Provides outlook for therapies with induced-pluripotent stem cell models
Technologies collectively called omics enable simultaneous measurement of an enormous number of biomolecules; for example, genomics investigates thousands of DNA sequences, and proteomics examines large numbers of proteins. Scientists are using these technologies to develop innovative tests to detect disease and to predict a patient's likelihood of responding to specific drugs. Following a recent case involving premature use of omics-based tests in cancer clinical trials at Duke University, the NCI requested that the IOM establish a committee to recommend ways to strengthen omics-based test development and evaluation. This report identifies best practices to enhance development, evaluation, and translation of omics-based tests while simultaneously reinforcing steps to ensure that these tests are appropriately assessed for scientific validity before they are used to guide patient treatment in clinical trials.
Integrative Omics: Concepts, Methodology and Applications provides a holistic and integrated view of defining and applying network approaches, integrative tools, and methods to solve problems for the rationalization of genotype to phenotype relationships. The reference includes a range of chapters in a systemic 'step by step' manner, which begins with the basic concepts from Omic to Multi Integrative Omics approaches, followed by their full range of approaches, applications, emerging trends, and future trends. All key areas of Omics are covered including biological databases, sequence alignment, pharmacogenomics, nutrigenomics and microbial omics, integrated omics for Food Science and Identification of genes associated with disease, clinical data integration and data warehousing, translational omics as well as omics technology policy and society research. Integrative Omics: Concepts, Methodology and Applications highlights the recent concepts, methodologies, advancements in technologies and is also well-suited for researchers from both academic and industry background, undergraduate and graduate students who are mainly working in the area of computational systems biology, integrative omics and translational science. The book bridges the gap between biological sciences, physical sciences, computer science, statistics, data science, information technology and mathematics by presenting content specifically dedicated to mathematical models of biological systems. - Provides a holistic, integrated view of a defining and applying network approach, integrative tools, and methods to solve problems for rationalization of genotype to phenotype relationships - Offers an interdisciplinary approach to Databases, data analytics techniques, biological tools, network construction, analysis, modeling, prediction and simulation of biological systems leading to 'translational research', i.e., drug discovery, drug target prediction, and precision medicine - Covers worldwide methods, concepts, databases, and tools used in the construction of integrated pathways
This comprehensively revised second edition of Computational Systems Biology discusses the experimental and theoretical foundations of the function of biological systems at the molecular, cellular or organismal level over temporal and spatial scales, as systems biology advances to provide clinical solutions to complex medical problems. In particular the work focuses on the engineering of biological systems and network modeling. - Logical information flow aids understanding of basic building blocks of life through disease phenotypes - Evolved principles gives insight into underlying organizational principles of biological organizations, and systems processes, governing functions such as adaptation or response patterns - Coverage of technical tools and systems helps researchers to understand and resolve specific systems biology problems using advanced computation - Multi-scale modeling on disparate scales aids researchers understanding of dependencies and constraints of spatio-temporal relationships fundamental to biological organization and function.
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“Omics for Personalized Medicine” will give to its prospective readers the insight of both the current developments and the future potential of personalized medicine. The book brings into light how the pharmacogenomics and omics technologies are bringing a revolution in transforming the medicine and the health care sector for the better. Students of biomedical research and medicine along with medical professionals will benefit tremendously from the book by gaining from the diverse fields of knowledge of new age personalized medicine presented in the highly detailed chapters of the book. The book chapters are divided into two sections for convenient reading with the first section covering the general aspects of pharmaocogenomic technology that includes latest research and development in omics technologies. The first section also highlights the role of omics in modern clinical trials and even discusses the ethical consideration in pharmocogenomics. The second section is focusing on the development of personalized medicine in several areas of human health. The topics covered range from metabolic and neurological disorders to non-communicable as well as infectious diseases, and even explores the role of pharmacogenomics in cell therapy and transplantation technology. Thirty-four chapters of the book cover several aspects of pharmacogenomics and personalized medicine and have taken into consideration the varied interest of the readers from different fields of biomedical research and medicine. Advent of pharmacogenomics is the future of modern medicine, which has resulted from culmination of decades of research and now is showing the way forward. The book is an honest endeavour of researchers from all over the world to disseminate the latest knowledge and knowhow in personalized medicine to the community health researchers in particular and the educated public in general.
Parkinson's Disease: Molecular Mechanisms Underlying Pathology explores the molecular pathways at the basis of the cellular defects connected to Parkinson's disease, the second most common neurodegenerative disease, and the most common movement disorder. This book presents the latest research on the pathways and mechanisms that have been discovered to play a role in Parkinson's pathology. This focus on mechanisms rather than individual genes allows the contributors to elaborate on overlapping and joint functions of different causative genes. Readers will find descriptions of model systems that present parallels (and differences) between discoveries in different species, demonstrating the importance of multidisciplinary research that spans a broad array of technologies and model organisms. Written from both a cross-methodology and cross-species perspective, the book provides readers with the current state of knowledge on the molecular biology of Parkinson's. - Written by experts in the field that focus on pathways and mechanisms implicated in Parkinson's pathology - Draws parallels between multidisciplinary discoveries in different model organisms using an array of technologies - Provides a cross-methodology and cross-species approach to understanding the molecular biology of Parkinson's disease - Includes approximately 25 color Illustrations and diagrams to explain concepts and models - Focuses on key pathways and mechanisms (as opposed to model organism or gene) to provide a multidisciplinary approach to Parkinson's disease
Volatile organic compounds (VOCs) in exhaled breath, sweat or urine carry much information on the state of human health. The role of VOCs in clinical diagnosis and therapeutic monitoring is expected to become increasingly significant due to recent advances in the field. Volatile Biomarkers: Non-Invasive Diagnosis in Physiology and Medicine includes the latest discoveries and applications for VOCs from the world's foremost scientists and clinicians working in this emerging analytic area. - Appeals to a multidisciplinary audience, including scientists, researchers, and clinicians with an interest in breath analysis - Features the latest scientific research and technical breakthroughs in the diagnostic and therapeutic aspects of volatile organic compounds - Includes case presentations documenting applications in multiple areas of human health and safety
Presenting an area of research that intersects with and integrates diverse disciplines, Bioinformatics for Omics Data: Methods and Protocols collects contributions from expert researchers in order to provide practical guidelines to this complex study.