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.
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