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

2.50
Hdl Handle:
http://hdl.handle.net/10033/594411
Title:
Dynamic gene network reconstruction from gene expression data in mice after influenza A (H1N1) infection.
Authors:
Dimitrakopoulou, Konstantina; Tsimpouris, Charalampos; Papadopoulos, George; Pommerenke, Claudia ( 0000-0002-9448-416X ) ; Wilk, Esther ( 0000-0003-3446-5511 ) ; Sgarbas, Kyriakos N; Schughart, Klaus ( 0000-0002-6824-7523 ) ; Bezerianos, Anastasios
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.
Affiliation:
Helmholtz Centre for infection research, Inhoffenstr. 7, D-38124 Braunschweig, Germany.
Citation:
Dynamic gene network reconstruction from gene expression data in mice after influenza A (H1N1) infection. 2011, 1:27 J Clin Bioinforma
Journal:
Journal of clinical bioinformatics
Issue Date:
2011
URI:
http://hdl.handle.net/10033/594411
DOI:
10.1186/2043-9113-1-27
PubMed ID:
22017961
Type:
Article
Language:
en
ISSN:
2043-9113
Appears in Collections:
publications of the department infection genetics (INFG)

Full metadata record

DC FieldValue Language
dc.contributor.authorDimitrakopoulou, Konstantinaen
dc.contributor.authorTsimpouris, Charalamposen
dc.contributor.authorPapadopoulos, Georgeen
dc.contributor.authorPommerenke, Claudiaen
dc.contributor.authorWilk, Estheren
dc.contributor.authorSgarbas, Kyriakos Nen
dc.contributor.authorSchughart, Klausen
dc.contributor.authorBezerianos, Anastasiosen
dc.date.accessioned2016-01-20T14:54:04Zen
dc.date.available2016-01-20T14:54:04Zen
dc.date.issued2011en
dc.identifier.citationDynamic gene network reconstruction from gene expression data in mice after influenza A (H1N1) infection. 2011, 1:27 J Clin Bioinformaen
dc.identifier.issn2043-9113en
dc.identifier.pmid22017961en
dc.identifier.doi10.1186/2043-9113-1-27en
dc.identifier.urihttp://hdl.handle.net/10033/594411en
dc.description.abstractThe 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.en
dc.language.isoenen
dc.titleDynamic gene network reconstruction from gene expression data in mice after influenza A (H1N1) infection.en
dc.typeArticleen
dc.contributor.departmentHelmholtz Centre for infection research, Inhoffenstr. 7, D-38124 Braunschweig, Germany.en
dc.identifier.journalJournal of clinical bioinformaticsen

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