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020 _a9783642355240
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024 7 _a10.1007/978-3-642-35524-0
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082 0 4 _a570.113
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245 1 0 _aTransactions on Computational Systems Biology XIV
_h[electronic resource] :
_bSpecial Issue on Computational Models for Cell Processes /
_cedited by Ion Petre, Erik de Vink.
250 _a1st ed. 2012.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2012.
300 _aX, 233 p. 67 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aTransactions on Computational Systems Biology ;
_v7625
505 0 _aTrend-Based Analysis of a Population Model of the AKAP Scaffold Protein -- Quasi Product Form Approximation for Markov Models of Reaction Networks -- Multiple Verification in Complex Biological Systems: The Bone Remodelling Case Study -- On Approximative Reachability Analysis of Biochemical Dynamical Systems -- Minimal Reaction Systems -- Complex Functional Rates in Rule-Based Languages for Biochemistry -- Probabilistic Model Checking of the PDGF Signaling Pathway -- Self-assembly Models of Variable Resolution -- Metabolic Constraints on the Evolution of Genetic Codes: Did Multiple ‘Preaerobic’ Ecosystem Transitions Entrain Richer Dialects via Serial Endosymbiosis?.
520 _aThe 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.
650 0 _aBioinformatics.
650 0 _aComputer simulation.
650 0 _aComputer science.
650 0 _aArtificial intelligence.
650 0 _aAlgorithms.
650 0 _aComputer science
_xMathematics.
650 0 _aMathematical statistics.
650 1 4 _aComputational and Systems Biology.
650 2 4 _aComputer Modelling.
650 2 4 _aTheory of Computation.
650 2 4 _aArtificial Intelligence.
650 2 4 _aAlgorithms.
650 2 4 _aProbability and Statistics in Computer Science.
700 1 _aPetre, Ion.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _ade Vink, Erik.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783642355233
776 0 8 _iPrinted edition:
_z9783642355257
830 0 _aTransactions on Computational Systems Biology ;
_v7625
856 4 0 _uhttps://doi.org/10.1007/978-3-642-35524-0
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