Quantum computing promises plenty, such as how it can massively accelerate some bioinformatics calculations.

AlAn Turing died in 1954 in his laboratory after eating a cyanide-laced apple. Though Turing’s mother believed her son’s death to be a result of the kind of accidents that befalls absent-minded mathematicians engaged in laboratory experiments, it is generally assumed to be a suicide. During his last years, Turing had become an experimentalist, interested in bio-chemical systems. He had proposed...

It is clear that the selection of the best possible algorithm for a computer program is essential for the creation of a useful tool. After this first step is taken, however, the usefulness of such a program may be greatly enhanced or impeded by the way it is implemented. We illustrate this point by describing our implementation of the well known FASTP/FASTIN algorithm in an interactive software...

In this paper we show some applications of Advanced and Parallel Computing to the study of mathematical models in Systems Biology and in particular of the networks of biochemical reactions occurring inside a cell. Due to their high complexity, the numerical study of these systems must be approached by means of sophisticated Advanced Computing tools. Two examples are shown: in a deterministic fr...

Because the label "computing and philosophy" can seem like an ad hoc attempt to tie computing to philosophy, it is important to explain why it is not, what it studies (or does) and how it differs from research in, say, "computing and history," or "computing and biology". The American Association for History and Computing is "dedicated to the reasonable and productive marriage of history and com...

The development of detailed, coherent, models of complex biological systems is recognized as a key requirement for integrating the increasing amount of experimental data. In addition, in-silico simulation of bio-chemical models provides an easy way to test different experimental conditions, helping in the discovery of the dynamics that regulate biological systems. However, the computational pow...

Systems biology is based on computational modelling and simulation of large networks of interacting components. Models may be intended to capture processes, mechanisms, components and interactions at different levels of fidelity. Input data are often large and geographically disperse, and may require the computation to be moved to the data, not vice versa. In addition, complex system-level prob...