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A 31/11)$b40625 L.M.$cIV coll.A 959 $aBK 969 $aUMA 979 $aSIAV3$b10$c20040122$lUSA01$h1009 979 $aPATRY$b90$c20040406$lUSA01$h1736 979 $aCOPAT6$b90$c20051201$lUSA01$h1249 996 $aContributo russo alle avanguardie plastiche$9932607 997 $aUNISA LEADER 04113nam 2200625 a 450 001 9910484504103321 005 20200520144314.0 024 7 $a10.1007/b107357 035 $a(CKB)1000000000212904 035 $a(SSID)ssj0000320461 035 $a(PQKBManifestationID)11237906 035 $a(PQKBTitleCode)TC0000320461 035 $a(PQKBWorkID)10249279 035 $a(PQKB)11434770 035 $a(DE-He213)978-3-540-32126-2 035 $a(MiAaPQ)EBC3067560 035 $a(PPN)134123751 035 $a(Au-PeEL)EBL3067560 035 $a(CaPaEBR)ebr10528413 035 $a(CaONFJC)MIL139067 035 $a(OCoLC)246897249 035 $a(BIP)011892525 035 $a(EXLCZ)991000000000212904 100 $a20050217d2005 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 00$aTransactions on computational systems biology I /$fCorrado Priami (ed.) 205 $a1st ed. 2005. 210 $aBerlin $cSpringer$dc2005 215 $a1 online resource (XII, 112 p.) 225 1 $aLecture notes in computer science. Lecture notes in bioinformatics,$x0302-9743 ;$v3380 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$aPrinted edition: 9783540254225 320 $aIncludes bibliographical references and index. 327 $aAccessible 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. 330 $aThisisthe?rstissueofanewjournaloftheLNCSjournalsubline.Theaimofthe journal is to encourage inter- and multidisciplinary research in the ?elds 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 ?eld 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 di?erent communities and to de?ne a common language that will allow them to exchange ideas and - sults. Furthermore, expectations of di?erent communities can be merged only by running activities like common projects and experiences. 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