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The Pacific Symposium on Biocomputing (PSB) 2011 is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance. Presentations are rigorously peer reviewed and are published in an archival proceedings volume. ""PSB 2011"" will be held on January 3 - 7, 2011 in Kohala Coast, Hawaii. Tutorials and workshops will be offered prior to the start of the conference. PSB 2011 will bring together top researchers from the US, Asia Pacific, and around the world to exchan

Biology -- Computer simulation -- Congresses. --- Biology -- Mathematical models -- Congresses. --- Molecular biology -- Computer simulation -- Congresses. --- Molecular biology -- Mathematical models -- Congresses. --- Protein Interactions --- Metabolomics --- Biocomputing --- Computational Genetics --- Ontology --- Computational Proteomics --- Bioinformatics

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Mathematical Concepts and Methods in Modern Biology offers a quantitative framework for analyzing, predicting, and modulating the behavior of complex biological systems. The book presents important mathematical concepts, methods and tools in the context of essential questions raised in modern biology. Designed around the principles of project-based learning and problem-solving, the book considers biological topics such as neuronal networks, plant population growth, metabolic pathways, and phylogenetic tree reconstruction. The mathematical modeling tools brought to bear on thes

Biology -- Mathematical models -- Congresses. --- Biomathematics. --- Computational biology -- Congresses. --- Models, Biological -- Congresses. --- Biomathematics --- Biology --- Biological systems --- Health & Biological Sciences --- Biology - General --- Mathematical models --- Mathematical models. --- Mathematics --- Biological models

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Natural selection --- Population genetics --- Evolution (Biology) --- Measurement --- Congresses --- Mathematical models --- Frydenberg, Ove, --- Congresses. --- Natural selection - Measurement - Congresses --- Population genetics - Mathematical models - Congresses --- Evolution (Biology) - Mathematical models - Congresses --- Frydenberg, Ove, - 1929-75

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Publisher's description: How can the future number of deer, agricultural pests, or cod be calculated based on the present number of individuals and their age distribution? How long will it take for a viral outbreak in a particular city to reach another city five hundred miles away? In addressing such basic questions, ecologists today are as likely to turn to complicated differential equations as to life histories--a dramatic change from thirty years ago. Population ecology is the mathematical backbone of ecology. Here, two leading experts provide the underlying quantitative concepts that all modern-day ecologists need. John Vandermeer and Deborah Goldberg show that populations are more than simply collections of individuals. Complex variables such as the size distribution of individuals and allotted territory for expanding groups come into play when mathematical models are applied. The authors build these models from the ground up, from first principles, using a much broader range of empirical examples--from plants to animals, from viruses to humans--than do standard texts. And they address several complicating issues such as age-structured populations, spatially distributed populations, and metapopulations. Beginning with a review of elementary principles, the book goes on to consider theoretical issues involving life histories, complications in the application of the core principles, statistical descriptions of spatial aggregation of individuals and populations as well as population dynamic models incorporating spatial information, and introductions to two-species interactions. Complemented by superb illustrations that further clarify the links between the mathematical models and biology, Population Ecology is the most straightforward and authoritative overview of the field to date. It will have broad appeal among undergraduates, graduate students, and practicing ecologists.

Population biology --- Ecology --- Mathematical models --- Mathematical models. --- Biologie des populations --- Ecologie --- Modèles mathématiques --- 574.3 --- 574.3 Populations and environment. Population dynamics --- Populations and environment. Population dynamics --- Population biology - Mathematical models --- Ecology - Mathematical models

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Esistono ormai da tempo molti articoli, in particolar modo su riviste di biomatematica, di (bio)fisica e di biologia, che presentano proposte e risultati di modellistica matematica relativi direttamente ed indirettamente alla teoria dell’evoluzione. Sicuramente questi studi sono da considerarsi cruciali per l’istituzione della biologia teorica. I temi da prendere in esame sono dapprima le convinzioni che i biologi hanno in merito. Quindi un’analisi dei precedenti tentativi di formulare una teoria matematica dell’evoluzione, nonché i relativi sviluppi e insuccessi a cui abbiamo assistito nell’ambito della "teoria della complessità". La nostra proposta consiste dunque nel realizzare una teoria matematicamente formulata e biologicamente ben fondata dell’evoluzione con specifico e giustificato riferimento a quella fenotipica. Quindi su questa base costruiamo sia di un modello geometrico sia un modello dinamico stocastico. In questo modo, pur tenendo presente l’intrinseca insufficienza dell’approccio riduzionista in biologia, si tenta di dare alcune risposte che hanno una corrispondenza biologica significativa.

Adaptation (Biology) -- Mathematical models. --- Biodiversity -- Mathematical models. --- Evolution (Biology) -- Mathematical models. --- Biology --- Health & Biological Sciences --- Biophysics --- Evolution (Biology) --- Evolution --- Statistical methods. --- Mathematics. --- Animal evolution --- Animals --- Biological evolution --- Darwinism --- Evolutionary biology --- Evolutionary science --- Origin of species --- Physics. --- Evolutionary biology. --- Probabilities. --- Biomathematics. --- Biophysics. --- Biological physics. --- Biophysics and Biological Physics. --- Evolutionary Biology. --- Mathematical and Computational Biology. --- Probability Theory and Stochastic Processes. --- Philosophy --- Creation --- Emergence (Philosophy) --- Teleology --- Biological fitness --- Homoplasy --- Natural selection --- Phylogeny --- Evolution (Biology). --- Distribution (Probability theory. --- Biological and Medical Physics, Biophysics. --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk --- Biological physics --- Medical sciences --- Physics