Current approaches to gene regulatory network modelling
<p>Abstract</p> <p>Many different approaches have been developed to model and simulate gene regulatory networks. We proposed the following categories for gene regulatory network models: network parts lists, network topology models, network control logic models, and dynamic models....
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doaj-051bde86aefb4aa99952200c20f9db0a2020-11-25T00:27:22ZengBMCBMC Bioinformatics1471-21052007-09-018Suppl 6S910.1186/1471-2105-8-S6-S9Current approaches to gene regulatory network modellingBrazma AlvisSchlitt Thomas<p>Abstract</p> <p>Many different approaches have been developed to model and simulate gene regulatory networks. We proposed the following categories for gene regulatory network models: network parts lists, network topology models, network control logic models, and dynamic models. Here we will describe some examples for each of these categories. We will study the topology of gene regulatory networks in yeast in more detail, comparing a direct network derived from transcription factor binding data and an indirect network derived from genome-wide expression data in mutants. Regarding the network dynamics we briefly describe discrete and continuous approaches to network modelling, then describe a hybrid model called Finite State Linear Model and demonstrate that some simple network dynamics can be simulated in this model.</p> http://www.biomedcentral.com/1471-2105/8/S6/S9 |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Brazma Alvis Schlitt Thomas |
spellingShingle |
Brazma Alvis Schlitt Thomas Current approaches to gene regulatory network modelling BMC Bioinformatics |
author_facet |
Brazma Alvis Schlitt Thomas |
author_sort |
Brazma Alvis |
title |
Current approaches to gene regulatory network modelling |
title_short |
Current approaches to gene regulatory network modelling |
title_full |
Current approaches to gene regulatory network modelling |
title_fullStr |
Current approaches to gene regulatory network modelling |
title_full_unstemmed |
Current approaches to gene regulatory network modelling |
title_sort |
current approaches to gene regulatory network modelling |
publisher |
BMC |
series |
BMC Bioinformatics |
issn |
1471-2105 |
publishDate |
2007-09-01 |
description |
<p>Abstract</p> <p>Many different approaches have been developed to model and simulate gene regulatory networks. We proposed the following categories for gene regulatory network models: network parts lists, network topology models, network control logic models, and dynamic models. Here we will describe some examples for each of these categories. We will study the topology of gene regulatory networks in yeast in more detail, comparing a direct network derived from transcription factor binding data and an indirect network derived from genome-wide expression data in mutants. Regarding the network dynamics we briefly describe discrete and continuous approaches to network modelling, then describe a hybrid model called Finite State Linear Model and demonstrate that some simple network dynamics can be simulated in this model.</p> |
url |
http://www.biomedcentral.com/1471-2105/8/S6/S9 |
work_keys_str_mv |
AT brazmaalvis currentapproachestogeneregulatorynetworkmodelling AT schlittthomas currentapproachestogeneregulatorynetworkmodelling |
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