000 | 03742nam a22006015i 4500 | ||
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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 |
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024 | 7 |
_a10.1007/0-387-33916-7 _2doi |
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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. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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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 |