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Principles of Genetics and Molecular Epidemiology
This book covers some of the most novel genetic and genomic concepts in epidemiology, such as geospatial statistics and systems biology from a clinical point of view by explaining molecular applications with accessible human studies. Featuring a comprehensive table of contents, it includes chapters from genomics and epidemiology surveillance to transcriptomics and alternative splicing principles. Across 17 well-organized chapters, this book meets attempt to explain easily to clinicians and students with basic principles of the genetics, genomics, molecular biology and its applications to epidemiology and public health. The text is distinct from other literature on the market because it covers useful genomic tools applied in epidemiology for clinicians who may not be experts in this branch of health science. Principles of Genetics and Molecular Epidemiology demystifies the idea that biomedicine is far from being applied in both epidemiology and clinical practice.
Clinical Genetics and Genomics of Aging
The world population is rapidly aging—it is estimated that by 1950, around 17% of the population will be elderly. In this context, aging involves several physiological, psychological and highly complex social processes that vary from one person to another. For a long time, medical care for older adults has focused on treating chronic, age-related diseases and their associated consequences. Recently, biomedical research brings a novel point of view to develop more effective interventions by targeting the aging process itself rather than separate conditions. There is a growing number of reports indicating that aging is driven by several interconnected mechanisms and biological components ref...
Epigenetics in Human Disease
Epigenetics in Human Disease, Third Edition examines the diseases and conditions on which we have advanced knowledge of epigenetic mechanisms, such as cancer, autoimmune disorders, aging, metabolic disorders, neurobiological disorders and cardiovascular disease. From molecular mechanisms and epigenetic technology to clinical translation of recent research, the nature and applications of the science is presented for those with interests ranging from the fundamental basis of epigenetics to therapeutic interventions for epigenetic-based disorders, with an emphasis throughout on understanding and application of key concepts in new research and clinical practice. Fully revised and up-to-date, thi...
Fundamentals of Genetic Epidemiology
This text integrates the principles, methods and approaches of epidemiology and genetics in the study of disease aetiology. The authors define the central theme of genetic epidemiology as the study of the role of genetic factors and their interaction with environmental factors in the occurrence of disease in populations.
An Introduction to Molecular Anthropology
Molecular anthropology uses molecular genetic methods to address questions and issues of anthropological interest. More specifically, molecular anthropology is concerned with genetic evidence concerning human origins, migrations, and population relationships, including related topics such as the role of recent natural selection in human population differentiation, or the impact of particular social systems on patterns of human genetic variation. Organized into three major sections, An Introduction to Molecular Anthropology first covers the basics of genetics – what genes are, what they do, and how they do it – as well as how genes behave in populations and how evolution influences them. ...
Behavioral Neurobiology
Shaun D. Cain, The Journal of Experimental Biology --Book Jacket.
Bioinformatics and Computational Biology
This textbook introduces fundamental concepts of bioinformatics and computational biology to the students and researchers in biology, medicine, veterinary science, agriculture, and bioengineering . The respective chapters provide detailed information on biological databases, sequence alignment, molecular evolution, next-generation sequencing, systems biology, and statistical computing using R. The book also presents a case-based discussion on clinical, veterinary, agricultural bioinformatics, and computational bioengineering for application-based learning in the respective fields. Further, it offers readers guidance on reconstructing and analysing biological networks and highlights computational methods used in systems medicine and genome-wide association mapping of diseases. Given its scope, this textbook offers an essential introductory book on bioinformatics and computational biology for undergraduate and graduate students in the life sciences, botany, zoology, physiology, biotechnology, bioinformatics, and genomic science as well as systems biology, bioengineering and the agricultural, and veterinary sciences.
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