Bioinformatics is the hottest topic in computer science. Each leading computer science department in UK has a group specialising in Bioinformatics or Computational Biology (system biology). The most important journal (according to impact factor) in computer science is "Bioinformatics" (~6). In Warwick, the University contributed £2.5 million to set up a System Biology Centre and is applying to BBSRC for £8.5 million in funding.
At the moment, we have accumulated a huge body of data about single variables (genes, proteins, neurons etc), but we are still far away from being clear about holistic issues arising from metabolic networks, gene networks, protein networks and neuronal networks. Progress is made by collecting, visualizing, and analyzing data using disparate fields such as image processing, database design and machine learning, and then modelling networks and predicting network outcomes based upon this data.
This book brings together leading scientists (computer scientists, applied mathematicians, and biologists) from Germany, China, USA and UK to discuss and present the most up-to-date results in the area.
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Many invited speakers are quite senior people in the area. For example, Prof. Ritter and Prof. Jost won the Lebnitz Prize in Germany, which is the highest prize in Germany. There are many senior people from China as well and the invited speakers are from Qinhua, Peking, Fudan etc. University, covering almost all leading universities in China. Prof. Zhang, from Cold Spring USA (arguably the best institute in biology in the world), is the leading biologist working in the area.
During the past decades, we have witnessed the thriving development of new mathematical, computational and theoretical approaches such as bioinformatics and neuroinformatics to tackle some fundamental issues in biology. These scientific approaches focus no longer on individual units, such as nerve cells or genes, but rather on the emerging dynamic patterns of interactions between them. These concentrate on the interplay between the local dynamics and activity transmissions on one side and the global structure of the underlying connection scheme on the other hand.
In this light, the concept of a network emerges as a powerful and stimulating research paradigm in mathematics, physics and computer science, and demonstrates a very lively interaction between experimental findings, simulation studies, and theoretical investigations that then in turn lead to new experimental questions.
This volume explores this concept in full and features contributions from a truly global set of contributors, many of whom are pre-eminent in their respective fields.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Recent decades have witnessed the thriving development of new mathematical, computational and theoretical approaches, such as bioinformatics and neuroinformatics, to tackle fundamental issues in biology. These approaches focus no longer on individual units, such as nerve cells or genes, but rather on dynamic patterns of interactions between them. This volume explores the concept in full, featuring contributions from a global group of contributors, many of whom are pre-eminent in their field. 340 pp. Englisch. Nº de ref. del artículo: 9781849966092
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The first book in this rapidly evolving area, covering mathematical theory and applications of mathematical theory to biologyA true interdisciplinary book with contributors from biology, computer science, physics and mathematics. Nº de ref. del artículo: 4288729
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - After over a century of research, we still do not understand the principle by which a stimulus, such as an odour or a sound, is represented by distributed neural ensembles within the brain; by which an individual is developed by the control of gene networks. While past studies have made detailed analysis of response profiles of single cells and the properties of a single gene in isolation, such techniques and approaches cannot easily address holistic issues of how large ensembles of neurons and genes can integrate information both spatially and temporally. There is little doubt that much of the info processing power of the brain or a gene network resides in the activities of co-operating and competing networks of neurons and genes and that if we unlock the principles whereby info is encoded and processed within these networks as a whole, rather than within single neurones or genes in isolation, we may be able to understand how the brain or gene network works. Our book will contribute to the development of such a study. Nº de ref. del artículo: 9781849966092
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