6533b85efe1ef96bd12c06ab
RESEARCH PRODUCT
An Embedded Processor for Metabolic Networks Optimization
Vincenzo ContiBarbara LanzaFilippo SorbelloSalvatore VitabileCarmelo Militellosubject
Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniMetabolic networks FPGA embedded processorRobustness (computer science)Computer sciencebusiness.industryEmbedded systemMetabolic networkSignal processing algorithmsAlgorithm designKey issuesbusinessField-programmable gate arrayBottleneckdescription
In recent years biological processes modelling and simulation have become two key issues in analyzing complex cellular systems. The computational requirements suggest to investigate alternative solutions to the common supercomputers and clusters in order to optimize and overcome computational bottleneck. The goal of this work is the design and the realization of an embedded processor for metabolic networks optimization in order to examine their behaviour and robustness under malfunctions of one or more nodes. The embedded processor has been prototyped on the Celoxica RC203E board, equipped with programmable FPGA technologies. A case studied outlining the E. Coli bacteria metabolic network is also presented.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2011-06-01 | 2011 International Conference on Complex, Intelligent, and Software Intensive Systems |