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Transactions on Computational Systems Biology IV / Edition 1
     

Transactions on Computational Systems Biology IV / Edition 1

by Luca Cardelli, Stephen Emmott
 

ISBN-10: 3540332456

ISBN-13: 9783540332459

Pub. Date: 05/11/2006

Publisher: Springer Berlin Heidelberg

This, the 4th Transactions on Computational Systems Biology volume, contains carefully selected and enhanced contributions presented at the first Converging Science conference held at the University of Trento, Italy, in December 2004.

Dedicated especially to models and metaphors from biology to bioinformatics tools, the 11 papers selected for the special issue

Overview

This, the 4th Transactions on Computational Systems Biology volume, contains carefully selected and enhanced contributions presented at the first Converging Science conference held at the University of Trento, Italy, in December 2004.

Dedicated especially to models and metaphors from biology to bioinformatics tools, the 11 papers selected for the special issue cover a wide range of bioinformatics research, such as foundations of global computing, interdisciplinarity in innovation initiatives, biodiversity, and more.

Product Details

ISBN-13:
9783540332459
Publisher:
Springer Berlin Heidelberg
Publication date:
05/11/2006
Series:
Lecture Notes in Computer Science / Transactions on Computational Systems Biology Series , #3939
Edition description:
2006
Pages:
141
Product dimensions:
9.21(w) x 6.14(h) x 0.33(d)

Table of Contents

Scientific Foundation for Global Computing.- Interdisciplinary Innovation in International Initiatives.- A Grand Challenge for Converging Sciences.- Applying Computer Science Research to Biodiversity Informatics: Some Experiences and Lessons.- e-Science and the VL-e Approach.- From Syntax to Semantics in Systems Biology Towards Automated Reasoning Tools.- SYMBIONIC: A European Initiative on the Systems Biology of the Neuronal Cell.- A Biological Approach to Autonomic Communication Systems.- The Twilight of the Despotic Digital Civilization.- A Compositional Approach to the Shastic Dynamics of Gene Networks.- A Weighted Profile Based Method for Protein-RNA Interacting Residue Prediction.

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