Systems Biology and Regulatory Genomics: Joint Annual RECOMB by Weihui Wu, Yongling Song, Shouguang Jin (auth.), Eleazar

By Weihui Wu, Yongling Song, Shouguang Jin (auth.), Eleazar Eskin, Trey Ideker, Ben Raphael, Christopher Workman (eds.)

This e-book constitutes the completely refereed post-proceedings of 2 joint RECOMB 2005 satellite tv for pc occasions: the 1st Annual Workshop on platforms Biology, RSB 2005 and the second one Annual Workshop on Regulatory Genomics, RRG 2005, held in San Diego, CA, united states in December 2005.

The 21 revised complete papers provided have been conscientiously reviewed and chosen for inclusion within the ebook. The papers handle a huge number of issues in platforms biology and regulatory genomics together with inference of gene regulatory and protein signaling networks, version prediction of drug mechanism, pathway mapping and evolution in protein interplay networks, multi-scale equipment which bridge summary and distinctive types, systematic layout of genome-scale experiments, modeling and popularity of regulatory components, id and modeling of cis-regulatory areas, modeling the constitution and serve as of the regulatory sector, and comparative genomics of regulation.

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Systems Biology and Regulatory Genomics: Joint Annual RECOMB 2005 Satellite Workshops on Systems Biology and on Regulatory Genomics, San Diego, CA, USA; December 2-4, 2005, Revised Selected Papers

This publication constitutes the completely refereed post-proceedings of 2 joint RECOMB 2005 satellite tv for pc occasions: the 1st Annual Workshop on structures Biology, RSB 2005 and the second one Annual Workshop on Regulatory Genomics, RRG 2005, held in San Diego, CA, united states in December 2005. The 21 revised complete papers offered have been conscientiously reviewed and chosen for inclusion within the publication.

Additional info for Systems Biology and Regulatory Genomics: Joint Annual RECOMB 2005 Satellite Workshops on Systems Biology and on Regulatory Genomics, San Diego, CA, USA; December 2-4, 2005, Revised Selected Papers

Example text

Subsequently, several computational methods to identify network modules and/or protein complexes have been developed. In a protein interaction network, such modules correspond to densely connected subgraphs, either cliques or “cliquish” components. This observation serves as a starting point for several computational methods to identify protein complexes and families of overlapping protein complexes in high-throughput protein interaction networks [1, 19, 5, 21]. Such cliques or densely connected subgraphs may contain, in addition to proteins that form a molecular complex, proteins that transiently interact with other proteins.

De/TGI/pnbib. The Petri Nets Bibliography. com/sw/tools/graphviz/. The GraphViz Homepage. I. Zevedei-Oancea and S. Schuster. Topological analysis of metabolic networks based on Petri net theory. In Silico Biology, 3(0029), 2003. Decomposition of Overlapping Protein Complexes: A Graph Theoretical Method for Analyzing Static and Dynamic Protein Associations Elena Zotenko1,2 , Katia S. Guimar˜ aes1,3 , 1 Raja Jothi , and Teresa M. Przytycka1 1 2 NCBI/NLM/NIH, Bethesda, USA Department of Computer Science, University of Maryland, College Park, USA 3 Center of Informatics, Federal University of Pernambuco, Recife, Brazil Abstract.

9. J. Gagneur, R. Krause, T. Bouwmeester, and G. Casari. Modular decomposition of protein-protein interaction networks. Genome Biology, 5(8):R57, 2004. 10. C. Gavin, M. Bosche, R. Krause, P. Grandi, M. Marzioch, A. Bauer, J. M. M. M. Cruciat. Functional organization of the yeast proteome by systematic analysis of protein complexes. Nature, 415:141–147, 2002. 11. F. Gavril. The intersection graphs of subtrees in trees are exactly the chordal graphs. Journal of Combinatorial Theory (B), 16:47–56, 1974.

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