The natural world is a rich source of inspiration for developing sophisticated computational systems, and the opposite is also true, with bioinformatics approaches providing keen insight into biological processes. However, to gain an accurate understanding of the instructions that guide biological systems, input quantities are required. This is not always possible, as these systems are quantified by a variety of attributes.
