Bioinformatics, Computational Biology, and Healthcare IT
Reference documents in Bioinformatics, Computational Biology, and Healthcare IT.
Documents in Bioinformatics, Computational Biology, and Healthcare IT
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Nature's evolution has led to the introduction of highly efficient biological mechanisms. Imitating these mechanisms offers an enormous potential for the improvement of our day to day life. Ideally, by bio-inspiration we can get a better view of nature’s capability while studying its models and adapting it for our benefit.
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This book is a collection of different views on most recent topics and basic concepts in bioinformatics. This book suits young researchers who seek basic fundamentals of bioinformatic skills such as data mining, data integration, sequence analysis and gene expression analysis as well as scientists who are interested in current research in computational biology and bioinformatics including next generation sequencing, transcriptional analysis and drug design. Because of the rapid development of new technologies in molecular biology, new bioinformatic techniques emerge accordingly to keep the pace of in silico development of life science.
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This book is packed with valuable information that introduces you to this exciting Bioinformatics.
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In this book, we are exploring new scientific and technological systems to benefit human health, human food and animal feed production, and environmental protections. Indeed, we are humbled by the complexity, extent and beauty of cross-talks in various biological systems; on the other hand, we are becoming more educated and are able to start addressing honestly and skillfully the various important issues concerning translational medicine, global agriculture, and the environment.
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This book presents some theoretical issues, reviews, and a variety of bioinformatics applications. For better understanding, the chapters were grouped in two parts. In Part I, the chapters are more oriented towards literature review and theoretical issues. Part II consists of application-oriented chapters that report case studies in which a specific biological problem is treated with bioinformatics tools.
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This book is a rosetta stone for the IT implementer that will teach you to bring organizations to implement and use electronic health records. It underlies a major federal incentives program for medical offices and hospitals that pays doctors and clinicians to move to fully electronic health records.
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This book is intended to serve both as a textbook for short bioinformatics courses and as a base for a self-teaching endeavor.
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This practical book introduces readers to bioinformatics, the scientific discipline at the intersection of biology, computer science, and statistical data analytics dedicated to the digital processing of genomic information.
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This textbook is for anyone who needs to learn the basics of bioinformatics - the use of computational methods to better understand biological systems.
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This book is packed with valuable information that introduces you to this exciting Bioinformatics.
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This foundational book introduces the key concept of autonomy derived as an elaboration of the idea of autopoiesis (the self-production and self-distinction) of living organisms, by one of the foremost authors in cognitive science and theoretical biology.
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This open access handbook provides the first comprehensive overview of biometrics exploiting the shape of human blood vessels for biometric recognition, i.e. vascular biometrics, including finger vein recognition, hand/palm vein recognition, retina recognition, and sclera recognition.
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This open access book comprehensively introduces biocomputing, focusing on its foundational theories, experimental operations, and computational models. Biocomputing represents an innovative computational paradigm that leverages biomolecules as a carrier for processing and storing information.
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Biopython is a set of freely available tools for biological computation written in Python by an international team of developers. This book provides information to get you started with Biopython, in addition to specific documentation on a number of modules.