OneGenE: Regulatory Gene Network Expansion via Distributed Volunteer Computing on BOINC
OneGenE: Regulatory Gene Network Expansion via Distributed Volunteer Computing on BOINC
Gene regulatory network expansion is a task of the foremost importance in computational biology that aims at finding new genes to expand a given known gene regulatory network. To this end we present OneGenE, a novel framework for gene regulatory network expansion that relies on the BOINC platform. OneGenE is an evolution of the NES2RA algorithm, with the aim to overcome its main criticality, i.e. long response time for the final user. To achieve this goal, candidate expansion lists are pre-computed for each gene in the organism and then aggregated at runtime to produce the the final expansion list for a given known gene regulatory network. We validated OneGenE on the expression data of Pseudomonas aeruginosa, comparing its results with the one obtained by NES2RA and through a biological literature review.
- University of Trento Italy
- National Research Council Italy
- Institute of Materials for Electronics and Magnetism Italy
- National Research Council Sri Lanka
distributed volunteer computing, BOINC; distributed volunteer computing; gene regulatory network expansion; Computer Networks and Communications; Computer Science Applications1707 Computer Vision and Pattern Recognition, gene regulatory network expansion, BOINC
distributed volunteer computing, BOINC; distributed volunteer computing; gene regulatory network expansion; Computer Networks and Communications; Computer Science Applications1707 Computer Vision and Pattern Recognition, gene regulatory network expansion, BOINC
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