Inference of gene regulatory networks and compound mode of action from time course gene expression profiles | Zendy

Mukesh Bansal | Zendy; Giusy Della Gatta | Zendy; Diego di Bernardo | Zendy

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Inference of gene regulatory networks and compound mode of action from time course gene expression profiles

Author(s) -

Mukesh Bansal,

Giusy Della Gatta,

Diego di Bernardo

Publication year - 2006

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btl003

Subject(s) - gene , gene regulatory network , subnetwork , gene expression , inference , computational biology , regulation of gene expression , gene expression profiling , biology , genetics , computer science , artificial intelligence , computer security

Time series expression experiments are an increasingly popular method for studying a wide range of biological systems. Here we developed an algorithm that can infer the local network of gene-gene interactions surrounding a gene of interest. This is achieved by a perturbation of the gene of interest and subsequently measuring the gene expression profiles at multiple time points. We applied this algorithm to computer simulated data and to experimental data on a nine gene network in Escherichia coli.

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