الصفحة 1
الصفحة 1
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Bioinformatics drug discovery

Quantitative tools are becoming increasingly important in order to understand complex cascade of signal transduction events, pathways or biochemical reactions. The book showcases how computational techniques and algorithms are applied to biological data analysis, interpretation, and modelling. It covers applications in drug design and discovery, immune systems, phylogenetic analysis and protein structures.

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Biodiversity Conservation and Phylogenetic Systematics : Preserving our evolutionary heritage in an extinction crisis

This book brings an updated state of the art of phylogenetic diversity in conservation biology. Nineteen chapters written by scientists from research institutions of fourteen countries demonstrate that approaches for preserving the evolutionary heritage are now very tuned into human impacts and sustainability issues. The questions, methods and applications around which it is organized show the importance of phylogenetic diversity in avoiding biodiversity losses in the present extinction crisis. They touch important points such as the way we value phylogenetic diversity, the importance of thinking at a much wider sample of the Tree of Life, the choice of adequate measures. In methods section, new solutions, such as dealing with abundances, sampling effort, or with information coming from conflicting phylogenetic trees are provided. Application section includes study cases of different groups of organi

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Analyse céphalométrique fonctionnelle et esthétique de profil = Functional and aesthetic cephalometric profile analysis

The complexity of the craniofacial architecture explains the multiplicity of cephalometric analyzes, too often based on points without phylogenetic, ontogenetic, anatomical or biomechanical justification. The value of a reliable and rapid analysis designed from indisputable fundamental foundations is essential. It enables the use of cephalometry in the daily practice of orthodontists, maxillofacial surgeons and facial plastic surgeons. This functional and aesthetic cephalometric analysis is carried out from fourteen anatomical points, ten bony points and four skin points, which all have in common that they are exo-basicranial. This analysis is easy to understand and use. It only takes five minutes to be learned and five minutes to be traced (fifteen seconds if it is computerized). The resulting results are reliable. The functional and aesthetic analysis is developed through four chapters. The first is devoted to the fundamental bases, the second to the analysis itself and to clinical cases, the third to the comparative study of different cephalometric analyzes, and finally the fourth chapter revisits the work of Arne Björk.

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African Biodiversity : molecules, organisms, ecosystems

BIOTA is an interdisciplinary research project focusing on sustainable use and conservation of biodiversity in Africa (http://www.biote-africa.de). Session titles were Biogeography and Speciation Processes, Phylogenetic Patterns and Systematics, Diversity Declines and Conservation, and Applied Biodiversity Informatics

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Bioinformatics research and development ; 2nd International Conference, BIRD 2008 Vienna, Austria, July 7-9, 2008 Proceedings

This book constitutes the refereed proceedings of the Second International Bioinformatics Research and Development Conference, BIRD 2008, held in Vienna, Austria in July 2008.

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Bioinformatics

In this textbook present mathematical models in bioinformatics and they describe the biological problems that inspire the computer science tools used to handle the enormous data sets involved. The first part of the book covers the mathematical and computational methods, while the practical applications are presented in the second part. The mathematical presentation is descriptive and avoids unnecessary formalism, and yet remains clear and precise. Emphasis is laid on motivation through biological problems and cross applications. Each of the four chapters in the first part is accompanied by exercises and problems to support an understanding of the techniques presented. Each of the six chapters of the second part is devoted to some specific application domain: sequence alignment, molecular phylogenetics and coalescence theory, genomics, proteomics, RNA, and DNA microarrays. Each chapter concludes with a problems and projects section, to deepen the reader's understanding and to allow for the design of derived methods. Many of the projects involve publicly available software and/or Web-based bioinformatics depositories. Finally, the book closes with a thorough bibliography, reaching from classic research results to very recent findings, providing many pointers for future research.Overall, this volume is ideally suited for a senior undergraduate or graduate course on bioinformatics, with a strong focus on its mathematical and computer science background.

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Aspects of mathematical modelling : Applications in science, medicine, economics and management

The construction of mathematical models is an essential scientific activity. Mathematics has long been associated with developments in the exact sciences and engineering, but more recently mathematical modelling has been used to investigate complex systems that arise in many other fields. The contributors to this book demonstrate the application of mathematics to modern research topics in ecology and environmental science, health and medicine, phylogenetics and neural networks, theoretical chemistry, economics and management. The reader will find some review papers outlining current research directions in hot topics such as pattern formation and applications to medicine, and more targeted research papers on current developments in the various disciplines included.

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Analysis of phylogenetics and evolution with R

This book integrates a wide variety of data analysis methods into a single and flexible interface: the R language. This open source language is available for a wide range of computer systems and has been adopted as a computational environment by many authors of statistical software. Adopting R as a main tool for phylogenetic analyses will ease the workflow in biologists' data analyses, ensure greater scientific repeatability, and enhance the exchange of ideas and methodological developments.

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