Literature DB >> 23715978

Approaches to modeling gene regulatory networks: a gentle introduction.

Thomas Schlitt1.   

Abstract

This chapter is split into two main sections; first, I will present an introduction to gene networks. Second, I will discuss various approaches to gene network modeling which will include some examples for using different data sources. Computational modeling has been used for many different biological systems and many approaches have been developed addressing the different needs posed by the different application fields. The modeling approaches presented here are not limited to gene regulatory networks and occasionally I will present other examples. The material covered here is an update based on several previous publications by Thomas Schlitt and Alvis Brazma (FEBS Lett 579(8),1859-1866, 2005; Philos Trans R Soc Lond B Biol Sci 361(1467), 483-494, 2006; BMC Bioinformatics 8(suppl 6), S9, 2007) that formed the foundation for a lecture on gene regulatory networks at the In Silico Systems Biology workshop series at the European Bioinformatics Institute in Hinxton.

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Year:  2013        PMID: 23715978     DOI: 10.1007/978-1-62703-450-0_2

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

1.  Avoiding the Enumeration of Infeasible Elementary Flux Modes by Including Transcriptional Regulatory Rules in the Enumeration Process Saves Computational Costs.

Authors:  Christian Jungreuthmayer; David E Ruckerbauer; Matthias P Gerstl; Michael Hanscho; Jürgen Zanghellini
Journal:  PLoS One       Date:  2015-06-19       Impact factor: 3.240

2.  Augmenting microarray data with literature-based knowledge to enhance gene regulatory network inference.

Authors:  Guocai Chen; Michael J Cairelli; Halil Kilicoglu; Dongwook Shin; Thomas C Rindflesch
Journal:  PLoS Comput Biol       Date:  2014-06-12       Impact factor: 4.475

  2 in total

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