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Dynamic gene network reconstruction from gene expression data in mice after influenza A (H1N1) infection.

Dimitrakopoulou, Konstantina
; 
Tsimpouris, Charalampos
; 
Papadopoulos, George
; ; ; 
Sgarbas, Kyriakos N
; 
Schughart, Klaus
; 
Bezerianos, Anastasios
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2011
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Abstract
The immune response to viral infection is a temporal process, represented by a dynamic and complex network of gene and protein interactions. Here, we present a reverse engineering strategy aimed at capturing the temporal evolution of the underlying Gene Regulatory Networks (GRN). The proposed approach will be an enabling step towards comprehending the dynamic behavior of gene regulation circuitry and mapping the network structure transitions in response to pathogen stimuli.
Citation
Dynamic gene network reconstruction from gene expression data in mice after influenza A (H1N1) infection. 2011, 1:27 J Clin Bioinforma
Affiliation
Helmholtz Centre for infection research, Inhoffenstr. 7, D-38124 Braunschweig, Germany.
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Journal
Journal of clinical bioinformatics
URI
http://hdl.handle.net/10033/594411
DOI
10.1186/2043-9113-1-27
PubMed ID
22017961
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Language
en
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2043-9113
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publications of the research group infection genetics (INFG)