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This book summarizes the basics of actinobacteria, from microbiology to synthetic biology. It focuses on diversity, NRPS, sesquiterpenes, lantipeptide, bioinformatics apparatuses, cloning, CRISPR, reverse engineering, FDA supported medications, and marine actinobacteria. It also covers the latest trends in drug discovery from actinobacteria, and introduces several recently developed bioinformatics and synthetic biology tools to explore new antibiotics from actinobacteria. Many natural products such as polyketides, isoprenoids, phenazines, peptides, indolocarbarbazoles, sterols, and others have been isolated and characterized from actinobacteria. Some products are synthesized by the non-ribosomal peptide synthetases (NRPSs), polyketide synthases (PKSs), or other functional genes. Although genome sequencing has uncovered the differing qualities of these chemicals, recognizing new items and their biosynthetic pathways is still under examination. Cryptic metabolic pathways have been explored using molecular techniques or culture-dependent approaches. In recent years, researchers' primary interest is to identify the specific conditions or agents that wake the cryptic antibiotics. Several bioinformatics and synthetic biology tools were developed to explore new antibiotics from actinobacteria. The book comprises 14 chapters with different aspects of application and utilization of actinomycetes from the microbiology; systems biology, pharmacology of natural products, bioinformatics, actinomycete and its diversity, CRISPR, artificial Intelligence, synthetic biology, metabolic engineering, expressional studies, and biosynthetic gene clusters. The book delivers useful information on actinomyces to researchers, novices in genome designing, specialists, clinicians, policymakers, and professionals.

Biomathematics. Biometry. Biostatistics --- bio-informatica

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Biomathematics. Biometry. Biostatistics --- Biological techniques --- Biotechnology --- bio-informatica --- biologie --- biotechnologie

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The three-dimensional structure and function of molecules present many challenges and opportunities for developing an understanding of biological systems. With the increasing availability of molecular structures and the advancing accuracy of structure predictions and molecular simulations, the space for algorithmic advancement on many analytical and predictive problems is both broad and deep. To support this field, a rich set of methods and algorithms are available, addressing a variety of important problems such as protein-protein interactions, the effect of mutations on protein structure and function, and protein structure determination. Despite recent advancements in the field, in particular in protein folding with the development of AlphaFold, many problems still remain unsolved. In this book we focus on a number of topics in Structural Bioinformatics: Cryo-EM structural detection, protein conformational exploration, elucidation of molecular binding surface using geometry, the effect of mutations, insertions and deletions on protein structural stability, and protein-ligand binding.

Biomathematics. Biometry. Biostatistics --- Computer. Automation --- bio-informatica --- medische informatica

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This book discusses mixture and hidden Markov models for modeling behavioral data. Mixture and hidden Markov models are statistical models which are useful when an observed system occupies a number of distinct "regimes" or unobserved (hidden) states. These models are widely used in a variety of fields, including artificial intelligence, biology, finance, and psychology. Hidden Markov models can be viewed as an extension of mixture models, to model transitions between states over time. Covering both mixture and hidden Markov models in a single book allows main concepts and issues to be introduced in the relatively simpler context of mixture models. After a thorough treatment of the theory and practice of mixture modeling, the conceptual leap towards hidden Markov models is relatively straightforward. This book provides many practical examples illustrating the wide variety of uses of the models. These examples are drawn from our own work in psychology, as well as other areas such as financial time series and climate data. Most examples illustrate the use of the authors' depmixS4 package, which provides a flexible framework to construct and estimate mixture and hidden Markov models. All examples are fully reproducible and the accompanying hmmR package provides all the datasets used, as well as additional functionality. This book is suitable for advanced students and researchers with an applied background.

Statistical science --- Biomathematics. Biometry. Biostatistics --- biomathematica --- biostatistiek --- statistiek --- biometrie

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This extensively revised textbook describes and defines the US healthcare delivery system, its many systemic challenges and the prior efforts to develop and deploy informatics tools to help overcome these problems. Now that electronic health record systems are widely deployed, the HL7 Fast Healthcare Interoperability standard is being rapidly accepted as the means to access and share the data stored in those systems and analytics is increasing being used to gain new knowledge from that aggregated clinical data, this book goes on to discuss health informatics from an historical perspective, its current state and likely future state. It then turns to some of the important and evolving areas of informatics including electronic health records, clinical decision support,. population and public health, mHealth and analytics. Numerous use cases and case studies are employed in all of these discussions to help readers connect the technologies to real world challenges. Health Informatics on FHIR: How HL7's API is Transforming Healthcare is for introductory health informatics courses for health sciences students (e.g., doctors, nurses, PhDs), the current health informatics community, computer science and IT professionals interested in learning about the field and practicing healthcare providers. Though this textbook covers an important new technology, it is accessible to non-technical readers including healthcare providers, their patients or anyone interested in the use of healthcare data for improved care, public/population health or research. .

Biomathematics. Biometry. Biostatistics --- Computer. Automation --- bio-informatica --- medische informatica