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Optimization and Ontology for Computational Systems Biology
dc.contributor.author | Umeton, Renato | |
dc.contributor.author | Di Gregorio, Salvatore | |
dc.contributor.author | Nicosia, Giuseppe | |
dc.date.accessioned | 2014-04-10T14:00:26Z | |
dc.date.available | 2014-04-10T14:00:26Z | |
dc.date.issued | 2014-04-10 | |
dc.identifier.uri | http://hdl.handle.net/10955/515 | |
dc.description | Dottorato di Ricerca in Matematica ed Informatica,XXIII Ciclo, a.a. 2010 | en_US |
dc.description.abstract | In the context of my PhD I studied mostly problems that nd their location in the bioinformatics and bioengineering elds. The arti cial photosynthesis has been object of my research and problems like the e cient sequestrations of CO2 and the optimization of the Nitrogen consumption have been taken as target. Geobacter sulfurreducens, a microorganism capable of employing biomasses to produce electrons, has been studied as well. New algorithmic approaches have been developed on both topics and new results obtained are currently un- der consideration for \in vitro" and \in vivo" implementations. The integration of the information coming from biological and medical re- sources is a problem that I tackled as well; in this case, the resulting software is currently embedded in the project Cytosolve@MIT. On a parallel track, I also studied problems that are modeled in terms of Cellular Automata, that are a computing environment that shows a straight inspiration from natural phenomena. | en_US |
dc.description.sponsorship | Università della Calabria | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartofseries | INF/01; | |
dc.subject | Ontology | en_US |
dc.title | Optimization and Ontology for Computational Systems Biology | en_US |
dc.type | Thesis | en_US |