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Bioinformatics of genome regulation and structure II
The conference was organized by the Laboratory of Theoretical Genetics, Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia. The material covers the most recent topics in bioinformatics, including (i) regulatory genomic sequences: databases, knowledge bases, computer analysis, modeling, and recognition; (ii) large-scale genome analysis and functional annotation; (iii) gene structure detection and prediction; (iv) comparative and evolutionary genomics; (v) computer analysis of genome polymorphism and evolution; computer analysis and modeling of transcription, splicing, and translation; structural computational biology: structure- function organization of genomic DNA, RNA, and proteins; (vi) gene networks, signal transduction pathways, and genetically controlled metabolic pathways: databases, knowledge bases, computer analysis, and modeling; principles of organization, operation, and evolution; (vii) data warehousing, knowledge discovery and data mining; and (viii) analysis of basic patterns of genome operation, organization, and evolution.
A Legacy for Living Systems : Gregory Bateson as Precursor to Biosemiotics
This book represents a major attempt to revise this deficiency. Scholars from ecology, biochemistry, evolutionary biology, cognitive science, anthropology and philosophy discuss how Bateson's thinking might lead to a fruitful reframing of central problems in modern science. Most important perhaps, Bateson's bioanthropology is shown to play a key role in developing the set of ideas explored in the new field of biosemiotics. The idea that organismic life is indeed basically semiotic or communicative lies at the heart of the biosemiotic approach to the study of life.The only book of its kind, this volume provides a key resource for the quickly-growing substratum of scholars in the biosciences, philosophy and medicine who are seeking an elegant new approach to exploring highly complex systems.
(R)Evolution : Organizations and the Dynamics of the Environment
Investigates the possible changes needed for industrial organizations to adapt to and remain competitive in their ever evolving environment. (R)Evolution’s main area of contribution to these very complex issues is embedded in the work’s ambitious attempt to borrow from evolutionary biology and genetics not only metaphors but also concepts and models to be adapted to the management of business organizations. The work provides us with a comprehensive vision of adaptation and variation in the business community, integrating various intellectual inputs which are based on an evolutionary vision of economic behavior. Using an extensive study of the literature in management science, and applying new models and methodologies in numerous case studies, Dekkers draws many insightful conclusions including the claim that companies often evolve slower than generally expected. Furthermore the research calls into question the effectiveness of the common practice of corporate reorganization. Embracing and merging most major contemporary developments in the theories of change into a comprehensive integrated approach, (R)Evolution is an invaluable resource for researchers specializing in the management of technological change.
Killer Cell Dynamics : Mathematical and Computational Approaches to Immunology
Reviews how mathematics can be used in combination with biological data in order to improve understanding of how the immune system works. This is illustrated largely in the context of viral infections. Mathematical models allow scientists to capture complex biological interactions in a clear mathematical language and to follow them to their precise logical conclusions. This can give rise to counter-intuitive insights which would not be attained by experiments alone, and can be used for the design of further experiments in order to address the mathematical results.
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.
