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Author (up) Milo, R.; Itzkovitz, S.; Kashtan, N.; Levitt, R.; Alon, U.
Title Response to Comment on “Network Motifs: Simple Building Blocks of Complex Networks” and “Superfamilies of Evolved and Designed Networks” Type Journal Article
Year 2004 Publication Science Abbreviated Journal Science
Volume 305 Issue 5687 Pages 1107d
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Notes 10.1126/science.1100519 Approved no
Call Number Equine Behaviour @ team @ Serial 5031
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Author (up) Milo, R.; Itzkovitz, S.; Kashtan, N.; Levitt, R.; Shen-Orr, S.; Ayzenshtat, I.; Sheffer, M.; Alon, U.
Title Superfamilies of Evolved and Designed Networks Type Journal Article
Year 2004 Publication Science Abbreviated Journal Science
Volume 303 Issue 5663 Pages 1538-1542
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Abstract Complex biological, technological, and sociological networks can be of very different sizes and connectivities, making it difficult to compare their structures. Here we present an approach to systematically study similarity in the local structure of networks, based on the significance profile (SP) of small subgraphs in the network compared to randomized networks. We find several superfamilies of previously unrelated networks with very similar SPs. One superfamily, including transcription networks of microorganisms, represents “rate-limited” information-processing networks strongly constrained by the response time of their components. A distinct superfamily includes protein signaling, developmental genetic networks, and neuronal wiring. Additional superfamilies include power grids, protein-structure networks and geometric networks, World Wide Web links and social networks, and word-adjacency networks from different languages.
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Notes 10.1126/science.1089167 Approved no
Call Number Equine Behaviour @ team @ Serial 5033
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Author (up) Milo, R.; Shen-Orr, S.; Itzkovitz, S.; Kashtan, N.; Chklovskii, D.; Alon, U.
Title Network Motifs: Simple Building Blocks of Complex Networks Type Journal Article
Year 2002 Publication Science Abbreviated Journal Science
Volume 298 Issue 5594 Pages 824-827
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Abstract Complex networks are studied across many fields of science. To uncover their structural design principles, we defined “network motifs,” patterns of interconnections occurring in complex networks at numbers that are significantly higher than those in randomized networks. We found such motifs in networks from biochemistry, neurobiology, ecology, and engineering. The motifs shared by ecological food webs were distinct from the motifs shared by the genetic networks of Escherichia coli and Saccharomyces cerevisiae or from those found in the World Wide Web. Similar motifs were found in networks that perform information processing, even though they describe elements as different as biomolecules within a cell and synaptic connections between neurons in Caenorhabditis elegans. Motifs may thus define universal classes of networks. This approach may uncover the basic building blocks of most networks.
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Notes 10.1126/science.298.5594.824 Approved no
Call Number Equine Behaviour @ team @ Serial 5032
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