000 03742nam a22006015i 4500
001 978-0-387-33916-0
003 DE-He213
005 20161121230939.0
007 cr nn 008mamaa
008 100301s2006 xxu| s |||| 0|eng d
020 _a9780387339160
_9978-0-387-33916-0
024 7 _a10.1007/0-387-33916-7
_2doi
050 4 _aQH505
072 7 _aPHVN
_2bicssc
072 7 _aPHVD
_2bicssc
072 7 _aSCI009000
_2bisacsh
082 0 4 _a571.4
_223
100 1 _aKoonin, Eugene V.
_eauthor.
245 1 0 _aPower Laws, Scale-Free Networks and Genome Biology
_h[electronic resource] /
_cby Eugene V. Koonin, Yuri I. Wolf, Georgy P. Karev.
264 1 _aBoston, MA :
_bSpringer US,
_c2006.
300 _aXVI, 258 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aMolecular Biology Intelligence Unit
505 0 _aPower Laws in Biological Networks -- Graphical Analysis of Biocomplex Networks and Transport Phenomena -- Large-Scale Topological Properties of Molecular Networks -- The Connectivity of Large Genetic Networks -- The Drosophila Protein Interaction Network May Be neither Power-Law nor Scale-Free -- Birth and Death Models of Genome Evolution -- Scale-Free Evolution -- Gene Regulatory Networks -- Power Law Correlations in DNA Sequences -- Analytical Evolutionary Model for Protein Fold Occurrence in Genomes, Accounting for the Effects of Gene Duplication, Deletion, Acquisition and Selective Pressure -- The Protein Universes -- The Role of Computation in Complex Regulatory Networks -- Neutrality and Selection in the Evolution of Gene Families -- Scaling Laws in the Functional Content of Genomes.
520 _aPower Laws, Scale-free Networks and Genome Biology deals with crucial aspects of the theoretical foundations of systems biology, namely power law distributions and scale-free networks which have emerged as the hallmarks of biological organization in the post-genomic era. The chapters in the book not only describe the interesting mathematical properties of biological networks but moves beyond phenomenology, toward models of evolution capable of explaining the emergence of these features. The collection of chapters, contributed by both physicists and biologists, strives to address the problems in this field in a rigorous but not excessively mathematical manner and to represent different viewpoints, which is crucial in this emerging discipline. Each chapter includes, in addition to technical descriptions of properties of biological networks and evolutionary models, a more general and accessible introduction to the respective problems. Most chapters emphasize the potential of theoretical systems biology for discovery of new biological phenomena.
650 0 _aPhysics.
650 0 _aBiochemistry.
650 0 _aProteomics.
650 0 _aBioinformatics.
650 0 _aMicrobial genetics.
650 0 _aMicrobial genomics.
650 0 _aBiophysics.
650 0 _aBiological physics.
650 1 4 _aPhysics.
650 2 4 _aBiophysics and Biological Physics.
650 2 4 _aBioinformatics.
650 2 4 _aBiochemistry, general.
650 2 4 _aMicrobial Genetics and Genomics.
650 2 4 _aProteomics.
650 2 4 _aPhysics, general.
700 1 _aWolf, Yuri I.
_eauthor.
700 1 _aKarev, Georgy P.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780387258836
830 0 _aMolecular Biology Intelligence Unit
856 4 0 _uhttp://dx.doi.org/10.1007/0-387-33916-7
912 _aZDB-2-PHA
950 _aPhysics and Astronomy (Springer-11651)
999 _c506304
_d506304