Microarrays, RNA-Seq, and Gene Regulatory Networks (GRNs) are common tools used to study the regulatory mechanisms mediating the expression of the genes involved in the biological processes of a cell. Whereas microarrays and RNA-Seq provide a snapshot of the average expression of a set of genes of a population of cells, GRNs are used to model the dynamics of the regulatory dependencies among a subset of genes believed to be the main actors in a biological process. In this paper we discuss the possibility of correlating a GRN dynamics with a gene expression profile extracted from one or more wet-lab expression experiments. This is more a position paper to promote discussion than a research paper with final results.
Gene Expression vs. Network Attractors / Politano, GIANFRANCO MICHELE MARIA; Savino, Alessandro; Vasciaveo, Alessandro. - STAMPA. - 9043:(2015), pp. 623-629. (Intervento presentato al convegno Third International Conference on Bioinformatics and Biomedical Engineering (IWBBIO) tenutosi a Granada, ES nel 15-17 Apr. 2015) [10.1007/978-3-319-16483-0_60].
Gene Expression vs. Network Attractors
POLITANO, GIANFRANCO MICHELE MARIA;SAVINO, ALESSANDRO;VASCIAVEO, ALESSANDRO
2015
Abstract
Microarrays, RNA-Seq, and Gene Regulatory Networks (GRNs) are common tools used to study the regulatory mechanisms mediating the expression of the genes involved in the biological processes of a cell. Whereas microarrays and RNA-Seq provide a snapshot of the average expression of a set of genes of a population of cells, GRNs are used to model the dynamics of the regulatory dependencies among a subset of genes believed to be the main actors in a biological process. In this paper we discuss the possibility of correlating a GRN dynamics with a gene expression profile extracted from one or more wet-lab expression experiments. This is more a position paper to promote discussion than a research paper with final results.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2599161