Transactions on Computational Systems Biology XIV

Special Issue on Computational Models for Cell Processes

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October 10, 2020 | History

Transactions on Computational Systems Biology XIV

Special Issue on Computational Models for Cell Processes

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The LNCS journal Transactions on Computational Systems Biology is devoted to inter- and multidisciplinary research in the fields of computer science and life sciences and supports a paradigmatic shift in the techniques from computer and information science to cope with the new challenges arising from the systems oriented point of view of biological phenomena.
This, the 14th Transactions on Computational Systems Biology volume, guest edited by Ion Petre and Erik de Vink, focuses on Computational Models for Cell Processes and features a number of carefully selected and enhanced contributions, initially presented at the CompMod workshop, which took place in Aachen, Germany, in September 2011. The papers, written from different points of view and following various approaches, cover a wide range of topics within the field of modeling and analysis of biological systems. In addition, two regular submissions deal with models of self-assembling systems and metabolic constraints on the evolution of genetic codes.

Publish Date
Publisher
Springer
Pages
243

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Previews available in: English

Edition Availability
Cover of: Transactions on Computational Systems Biology XIV
Transactions on Computational Systems Biology XIV: Special Issue on Computational Models for Cell Processes
2012, Springer Berlin Heidelberg, Imprint: Springer
electronic resource : in English
Cover of: Transactions on Computational Systems Biology XIV
Cover of: Transactions on Computational Systems Biology XIV

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Book Details


Edition Notes

Source title: Transactions on Computational Systems Biology XIV: Special Issue on Computational Models for Cell Processes (Lecture Notes in Computer Science (7625))

Classifications

Library of Congress
QH324.2-324.25QA76.9

The Physical Object

Format
paperback
Number of pages
243

ID Numbers

Open Library
OL28305567M
ISBN 10
3642355234
ISBN 13
9783642355233

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Download catalog record: RDF / JSON / OPDS | Wikipedia citation
October 10, 2020 Edited by ImportBot import existing book
August 3, 2020 Edited by ImportBot import existing book
July 4, 2020 Created by ImportBot Imported from amazon.com record