Analysing genomic data and complex natural phenomena in computational terms enhances our comprehension of both nature and computation. Thus, a cross fertilization of algorithms and models for natural complex systems at molecular, cellular, or higher levels, became an active research area, and a more in depth investigation of mutual relationships, synergies, similarities, and differences should be encouraged.

Algorithms and models for complex natural systems

Franco, G.;
2015-01-01

Abstract

Analysing genomic data and complex natural phenomena in computational terms enhances our comprehension of both nature and computation. Thus, a cross fertilization of algorithms and models for natural complex systems at molecular, cellular, or higher levels, became an active research area, and a more in depth investigation of mutual relationships, synergies, similarities, and differences should be encouraged.
2015
bioinformatics
synthetic biology
unconventional computing
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1096168
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