LEADER 03982nam 2200577Ia 450 001 9910484573603321 005 20200520144314.0 010 $a3-642-04186-8 024 7 $a10.1007/978-3-642-04186-0 035 $a(CKB)1000000000798319 035 $a(SSID)ssj0000320471 035 $a(PQKBManifestationID)11237908 035 $a(PQKBTitleCode)TC0000320471 035 $a(PQKBWorkID)10249173 035 $a(PQKB)11749664 035 $a(DE-He213)978-3-642-04186-0 035 $a(MiAaPQ)EBC3064608 035 $a(PPN)139958657 035 $a(EXLCZ)991000000000798319 100 $a20090729d2009 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 00$aTransactions on computational systems biology XI $ecomputational models for cell processes /$fCorrado Priami, Ralph-Johan Back, Ion Petre (eds.) 205 $a1st ed. 2009. 210 $aBerlin ;$aNew York $cSpringer$dc2009 215 $a1 online resource (VIII, 335 p.) 225 1 $aLecture notes in computer science. Lecture notes in bioinformatics ;$v5750 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-04185-X 320 $aIncludes bibliographical references and index. 327 $aComputational Models for Cell Processes -- Process Algebra Modelling Styles for Biomolecular Processes -- Simple, Enhanced and Mutual Mobile Membranes -- Bio-PEPA with Events -- In Silico Modelling and Analysis of Ribosome Kinetics and aa-tRNA Competition -- Qualitative and Quantitative Analysis of a Bio-PEPA Model of the Gp130/JAK/STAT Signalling Pathway -- Rule-Based Modelling and Model Perturbation -- Extended Stochastic Petri Nets for Model-Based Design of Wetlab Experiments -- A Projective Brane Calculus with Activate, Bud and Mate as Primitive Actions -- Accepting Networks of Non-inserting Evolutionary Processors -- Discrete Modeling of Biochemical Signaling with Memory Enhancement -- Dynamical Systems and Stochastic Programming: To Ordinary Differential Equations and Back -- Computing Equilibrium Points of Genetic Regulatory Networks -- Code, Context, and Epigenetic Catalysis in Gene Expression. 330 $aThe LNCS journal Transactions on Computational Systems Biology is devoted to inter- and multidisciplinary research in the fields of computer science and life sciences and supports a paradigmatic shift in the techniques from computer and information science to cope with the new challenges arising from the systems oriented point of view of biological phenomena. This special issue on Computational Models for Cell Processes is based on a workshop with the same name that took place in Turku, Finland, on May 27, 2008. The accepted papers, which have passed through a separate peer-review process, span an interesting mix of approaches to systems biology, ranging from quantitative to qualitative techniques, from continuous to discrete mathematics, from deterministic to stochastic methods, and from computational models for biology to computing paradigms inspired by biology. Also included in this issue are three regular submissions dealing with the relationship between ODEs and stochastic concurrent constraint programming, with the equilibrium points of genetic regulatory networks, and with probability models describing how epigenetic context affects gene expression and organismal development. 410 0$aLecture notes in computer science.$pLecture notes in bioinformatics ;$v5750. 606 $aComputatinal biology 606 $aBioinformatics 615 0$aComputatinal biology. 615 0$aBioinformatics. 676 $a572/.6 701 $aPriami$b Corrado$01236801 701 $aBack$b Ralph-Johan$0543932 701 $aPetre$b Ion$01758774 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484573603321 996 $aTransactions on computational systems biology XI$94197025 997 $aUNINA