Transactions on Computational Systems Biology I
Thisisthe first is sue of a new journal of the LNCS journal subline. The aim of the journal is to encourage inter- and multidisciplinary research in the fields of c- puter science and life sciences. The recent paradigmatic shift in biology towards a system view of biological phenomena requires a corresponding paradigmatic shift in the techniques from computer science that can face the new challenges. Classical tools usually used in bioinformatics are no longer up to date and new ideas are needed. The convergence of sciences and technologies we are experiencing these days is changing the classical terms of reference for research activities. In fact clear distinctions between disciplines no longer exist because advances in one field permit advances in others and vice versa, thus establishing a positive feedback loop between sciences. The potential impact of the convergence of sciences and technologies is so huge that we must consider how to control and correctly drive our future activities. International and national funding agencies are looking at interdisciplinary research as a key issue for the coming years, especially in the intersection of life sciences and information technology. To speed up this process, we surely need to establish relationships between researchers of different communities and to define a common language that will allow them to exchange ideas and - sults. Furthermore, expectations of different communities can be merged only by running activities like common projects and experiences. The Transactionson Computational Systems Biology could be a good forum to help life scientists and computer scientists to discuss together their common goals.
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Transactions on Computational Systems Biology I
Thisisthe first is sue of a new journal of the LNCS journal subline. The aim of the journal is to encourage inter- and multidisciplinary research in the fields of c- puter science and life sciences. The recent paradigmatic shift in biology towards a system view of biological phenomena requires a corresponding paradigmatic shift in the techniques from computer science that can face the new challenges. Classical tools usually used in bioinformatics are no longer up to date and new ideas are needed. The convergence of sciences and technologies we are experiencing these days is changing the classical terms of reference for research activities. In fact clear distinctions between disciplines no longer exist because advances in one field permit advances in others and vice versa, thus establishing a positive feedback loop between sciences. The potential impact of the convergence of sciences and technologies is so huge that we must consider how to control and correctly drive our future activities. International and national funding agencies are looking at interdisciplinary research as a key issue for the coming years, especially in the intersection of life sciences and information technology. To speed up this process, we surely need to establish relationships between researchers of different communities and to define a common language that will allow them to exchange ideas and - sults. Furthermore, expectations of different communities can be merged only by running activities like common projects and experiences. The Transactionson Computational Systems Biology could be a good forum to help life scientists and computer scientists to discuss together their common goals.
54.99 In Stock
Transactions on Computational Systems Biology I

Transactions on Computational Systems Biology I

by Springer Berlin Heidelberg
Transactions on Computational Systems Biology I

Transactions on Computational Systems Biology I

by Springer Berlin Heidelberg

Paperback(2005)

$54.99 
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Overview

Thisisthe first is sue of a new journal of the LNCS journal subline. The aim of the journal is to encourage inter- and multidisciplinary research in the fields of c- puter science and life sciences. The recent paradigmatic shift in biology towards a system view of biological phenomena requires a corresponding paradigmatic shift in the techniques from computer science that can face the new challenges. Classical tools usually used in bioinformatics are no longer up to date and new ideas are needed. The convergence of sciences and technologies we are experiencing these days is changing the classical terms of reference for research activities. In fact clear distinctions between disciplines no longer exist because advances in one field permit advances in others and vice versa, thus establishing a positive feedback loop between sciences. The potential impact of the convergence of sciences and technologies is so huge that we must consider how to control and correctly drive our future activities. International and national funding agencies are looking at interdisciplinary research as a key issue for the coming years, especially in the intersection of life sciences and information technology. To speed up this process, we surely need to establish relationships between researchers of different communities and to define a common language that will allow them to exchange ideas and - sults. Furthermore, expectations of different communities can be merged only by running activities like common projects and experiences. The Transactionson Computational Systems Biology could be a good forum to help life scientists and computer scientists to discuss together their common goals.

Product Details

ISBN-13: 9783540254225
Publisher: Springer Berlin Heidelberg
Publication date: 05/31/2005
Series: Lecture Notes in Computer Science , #3380
Edition description: 2005
Pages: 112
Product dimensions: 6.10(w) x 9.17(h) x (d)

Table of Contents

Accessible Protein Interaction Data for Network Modeling. Structure of the Information and Available Repositories.- Early Systems Biology and Prebiotic Networks.- Virtualization in Systems Biology: Metamodels and Modeling Languages for Semantic Data Integration.- Genome Size and Numbers of Biological Functions.- Operational Patterns in Beta-Binders.- Discrete Event Multi-level Models for Systems Biology.- A New Time-Dependent Complexity Reduction Method for Biochemical Systems.
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