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Hierarchy and feedback in transcription networks

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Abstract Book of the XXIII IUPAP International Conference on Statistical Physics, Genova, Italy, (9-13 July 2007)

Abstract

We present statistical null-models for the structure and the growth of transcription networks, through a data-analysis approach that aims to evaluate feedback and hierarchy in an evolutionary perspective. The analysis is used to establish concrete biological trends, such as whether transcriptional autoregulators have mostly arisen through duplication, or if the existing hierarchical layers of computation are evolutionarily conserved.

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