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010   $a3-319-08861-0
024 7 $a10.1007/978-3-319-08861-7
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035   $a(EBL)1783139
035   $a(OCoLC)894170156
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035   $a(PQKBTitleCode)TC0001297542
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035   $a(DE-He213)978-3-319-08861-7
035   $a(MiAaPQ)EBC1783139
035   $a(PPN)17992799X
035   $a(MiAaPQ)EBC4071607
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100   $a20140711d2015      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aMathematical Modelling of Chromosome Replication and Replicative Stress /$fby Jens Karschau
205   $a1st ed. 2015.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015.
215   $a1 online resource (89 p.)
225 1 $aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053
300   $aDescription based upon print version of record.
311 08$a3-319-08860-2 
320   $aIncludes bibliographical references at the end of each chapters.
327   $aIntroduction -- Optimal Origin Placement for Minimal Replication Time -- Actively Replicating Domains Randomly Associate into Replication Factories -- Summary and Conclusions.
330   $aDNA replication is arguably the most crucial process at work in living cells. It is the mechanism by which organisms pass their genetic information from one generation to the next, and life on Earth would be unthinkable without it. Despite the discovery of DNA structure in the 1950s, the mechanism of its replication remains rather elusive.   This work makes important contributions to this line of research. In particular, it addresses two key questions in the area of DNA replication: which evolutionary forces drive the positioning of replication origins in the chromosome; and how is the spatial organization of replication factories achieved inside the nucleus of a cell?   A cross-disciplinary approach uniting physics and biology is at the heart of this research. Along with experimental support, statistical physics theory produces optimal origin positions and provides a model for replication fork assembly in yeast. Advances made here can potentially further our understanding of disease mechanisms such as the abnormal replication in cancer.
410  0$aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053
606   $aBiophysics
606   $aBiophysics
606   $aStatistical physics
606   $aDynamics
606   $aNucleic acids
606   $aGenetic engineering
606   $aPhysics
606   $aBiological and Medical Physics, Biophysics$3https://scigraph.springernature.com/ontologies/product-market-codes/P27008
606   $aComplex Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/P33000
606   $aNucleic Acid Chemistry$3https://scigraph.springernature.com/ontologies/product-market-codes/L14011
606   $aGenetic Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/C12037
606   $aNumerical and Computational Physics, Simulation$3https://scigraph.springernature.com/ontologies/product-market-codes/P19021
606   $aStatistical Physics and Dynamical Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/P19090
615  0$aBiophysics.
615  0$aBiophysics.
615  0$aStatistical physics.
615  0$aDynamics.
615  0$aNucleic acids.
615  0$aGenetic engineering.
615  0$aPhysics.
615 14$aBiological and Medical Physics, Biophysics.
615 24$aComplex Systems.
615 24$aNucleic Acid Chemistry.
615 24$aGenetic Engineering.
615 24$aNumerical and Computational Physics, Simulation.
615 24$aStatistical Physics and Dynamical Systems.
676   $a572.8645
700   $aKarschau$b Jens$4aut$4http://id.loc.gov/vocabulary/relators/aut$0792316
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910300426803321
996   $aMathematical Modelling of Chromosome Replication and Replicative Stress$91771626
997   $aUNINA