Although it is not always possible to record all this information in the modelling process, it is necessary to be at least aware of these factors.

Generally any modelling process has two steps: generating a model, then checking the model for accuracy (sometimes called diagnostics).

Further, as with any modelling process, the input data's accuracy must be checked and any outliers must be removed.

It must be understood, however, that the modelling process is a sophisticated matter involving probabilities and what is called Monte Carlo reckoning.

However, these clone indices rely on a statistical modelling process.

Its application in a context of validation opened up to a new way to investigate results from a modelling process or an analytical method.

The modelling process will result in an enterprise model (EM) which represents all or part of the enterprise operation.

Modelling tools should provide user guidance for both the modelling process itself and for the operational use of the models.

The user, therefore, can concentrate on the structure and behaviour of the system under consideration, rather than on the technical aspects of the modelling process.

We made eleven predictions for targets that had no detectable sequence relationships when we began the modelling process.