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Hierarchy and feedback in transcription networks

Abstract Book of the XXIII IUPAP International Conference on Statistical Physics, 2007.
Authors: M. Cosentino Lagomarsino and B. Bassetti and F. Bassetti and H. Isambert
Editors: Luciano Pietronero and Vittorio Loreto and Stefano Zapperi
URL: http://st23.statphys23.org/webservices/abstract/preview_pop.php?ID_PAPER=1043
Tags: bioinformatics evolution models network regulation statphys23 topic-10 transcriptional
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.
| URL | BibTeX  
@incollection{statphys23_1043,
title = {Hierarchy and feedback in transcription networks},
address = {Genova, Italy},
author = {M. Cosentino Lagomarsino and B. Bassetti and F. Bassetti and H. Isambert},
booktitle = {Abstract Book of the XXIII IUPAP International Conference on Statistical Physics},
editor = {Luciano Pietronero and Vittorio Loreto and Stefano Zapperi},
month = {9-13 July},
url = {http://st23.statphys23.org/webservices/abstract/preview_pop.php?ID_PAPER=1043},
year = {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.},
keywords = {bioinformatics evolution models network regulation statphys23 topic-10 transcriptional }
}