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03638aam a2200361 a 4500 001 C1B214766A8B11E689525693DAD10320 003 SILO 005 20160825010506 008 100105s2010 enka b 001 0 eng 010 $a 2010000127 020 $a 0521882737 (hardback) 020 $a 9780521882736 (hardback) 035 $a (OCoLC)500241736 040 $a DLC $c DLC $d YDXCP $d BWKUK $d BWK $d CDX $d UKM $d BWX $d SILO 050 00 $a QH604 M63 2010 082 00 $a 571.6 $2 22 245 00 $a Networks in cell biology / $c edited by M. Buchanan ... [et al.]. 260 $a Cambridge ; $b Cambridge University Press, $c 2010. 300 $a x, 271 p. : $b ill. ; $c 26 cm. 520 $a "The science of complex biological networks is transforming research in areas ranging from evolutionary biology to medicine. This is the first book on the subject, providing a comprehensive introduction to complex network science and its biological applications. With contributions from key leaders in both network theory and modern cell biology, this book discusses the network science that is increasingly foundational for systems biology and the quantitative understanding of living systems. It surveys studies in the quantitative structure and dynamics of genetic regulatory networks, molecular networks underlying cellular metabolism, and other fundamental biological processes. The book balances empirical studies and theory to give a unified overview of this interdisciplinary science. It is a key introductory text for graduate students and researchers in physics, biology and biochemistry, and presents ideas and techniques from fields outside the reader's own area of specialization"--Provided by publisher. 520 $a "Biologists now have access to a virtually complete map of all the genes in thehuman genome, and in the genomes of many other species. They are aggressivelyassembling a similarly detailed knowledge of the proteome, the full collection ofproteins encoded by those genes, and the transcriptome, the diverse set of mRNA"--Provided by publisher. 504 $a Includes bibliographical references and index. 505 8 $a Machine generated contents note: Introduction; 1. Network views of the cell Paolo De Los Rios and Michele Vendruscolo; 2. Transcriptional regulatory networks Sarath Chandra Janga and M. Madan Babu; 3. Transcription factors and gene regulatory networks Matteo Brilli, Elissa Calistri and Pietro Li婀; 4. Experimental methods for protein interaction identification Peter Uetz, Bj婁rn Titz, Seesandra V. Rajagopala and Gerard Cagney; 5. Modeling protein interaction networks Francesco Rao; 6. Dynamics and evolution of metabolic networks Daniel Segre;; 7. Hierarchical modularity in biological networks: the case of metabolic networks Erzse;bet Ravasz Regan; 8. Signalling networks Gian Paolo Rossini; Appendix 1. Complex networks: from local to global properties D. Garlaschelli and G. Caldarelli; Appendix 2. Modelling the local structure of networks D. Garlaschelli and G. Caldarelli; Appendix 3. Higher-order topological properties S. Ahnert, T. Fink and G. Caldarelli; Appendix 4. Elementary mathematical concepts A. Gabrielli and G. Caldarelli; References. 650 0 $a Cellular control mechanisms 650 0 $a Biological systems 650 0 $a System analysis 700 1 $a Buchanan, M. $q (Mark), $d 1961- 856 42 $3 Cover image $u http://assets.cambridge.org/97805218/82736/cover/9780521882736.jpg 941 $a 2 952 $l OVUX522 $d 20180131034309.0 952 $l USUX851 $d 20170405041927.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=C1B214766A8B11E689525693DAD10320 994 $a C0 $b IWAInitiate Another SILO Locator Search