Literature DB >> 15763564

Modelling gene networks at different organisational levels.

Thomas Schlitt1, Alvis Brazma.   

Abstract

Approaches to modelling gene regulation networks can be categorized, according to increasing detail, as network parts lists, network topology models, network control logic models, or dynamic models. We discuss the current state of the art for each of these approaches. There is a gap between the parts list and topology models on one hand, and control logic and dynamic models on the other hand. The first two classes of models have reached a genome-wide scale, while for the other model classes high throughput technologies are yet to make a major impact.

Mesh:

Year:  2005        PMID: 15763564     DOI: 10.1016/j.febslet.2005.01.073

Source DB:  PubMed          Journal:  FEBS Lett        ISSN: 0014-5793            Impact factor:   4.124


  10 in total

Review 1.  Modelling in molecular biology: describing transcription regulatory networks at different scales.

Authors:  Thomas Schlitt; Alvis Brazma
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2006-03-29       Impact factor: 6.237

2.  Origins of stochasticity and burstiness in high-dimensional biochemical networks.

Authors:  Simon Rosenfeld
Journal:  EURASIP J Bioinform Syst Biol       Date:  2008-10-16

Review 3.  Mechanisms and evolution of control logic in prokaryotic transcriptional regulation.

Authors:  Sacha A F T van Hijum; Marnix H Medema; Oscar P Kuipers
Journal:  Microbiol Mol Biol Rev       Date:  2009-09       Impact factor: 11.056

Review 4.  Understanding endothelial cell apoptosis: what can the transcriptome, glycome and proteome reveal?

Authors:  Muna Affara; Benjamin Dunmore; Christopher Savoie; Seiya Imoto; Yoshinori Tamada; Hiromitsu Araki; D Stephen Charnock-Jones; Satoru Miyano; Cristin Print
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2007-08-29       Impact factor: 6.237

Review 5.  Gene module level analysis: identification to networks and dynamics.

Authors:  Xuewei Wang; Ertugrul Dalkic; Ming Wu; Christina Chan
Journal:  Curr Opin Biotechnol       Date:  2008-09-03       Impact factor: 9.740

6.  Trees on networks: resolving statistical patterns of phylogenetic similarities among interacting proteins.

Authors:  William P Kelly; Michael P H Stumpf
Journal:  BMC Bioinformatics       Date:  2010-09-20       Impact factor: 3.169

7.  Arabidopsis Co-expression Tool (ACT): web server tools for microarray-based gene expression analysis.

Authors:  Iain W Manfield; Chih-Hung Jen; John W Pinney; Ioannis Michalopoulos; James R Bradford; Philip M Gilmartin; David R Westhead
Journal:  Nucleic Acids Res       Date:  2006-07-01       Impact factor: 16.971

8.  myGRN: a database and visualisation system for the storage and analysis of developmental genetic regulatory networks.

Authors:  Jamil Bacha; James S Brodie; Matthew W Loose
Journal:  BMC Dev Biol       Date:  2009-06-06       Impact factor: 1.978

9.  Ranked prediction of p53 targets using hidden variable dynamic modeling.

Authors:  Martino Barenco; Daniela Tomescu; Daniel Brewer; Robin Callard; Jaroslav Stark; Michael Hubank
Journal:  Genome Biol       Date:  2006-03-31       Impact factor: 13.583

10.  Current approaches to gene regulatory network modelling.

Authors:  Thomas Schlitt; Alvis Brazma
Journal:  BMC Bioinformatics       Date:  2007-09-27       Impact factor: 3.169

  10 in total

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