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The use of multiple templates in modelling helps to take advantage of the information present in all of them, but this must be done with care.
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It has been studied that combining multiple templates can, in most cases, improve the performance of TBM (Cheng, 2008).
Ligands in multiple templates could be clustered automatically following the constraint with reasonable physical meaning, and there has no need to estimate cluster number before clustering.
The nucleotide-independent DNA binding property of EG also could be an advantage, particularly for multiplex PCR, where multiple templates may be amplified in a manner more reflective of the individual template concentrations.
The inclusion of multiple template models in Pcons.net means that the user will have a greater number of models to choose from when making the final decision about which model to use for further studies.
Our analyses show that in general, multiple templates should be selected, based upon the presence or absence of structural features in TMHs or loops.
Currently, multiple templates' ensemble is widely used in biometrics systems.
In current multiple templates ensemble researches, there are two challenges: (1) how to choose the proper templates for ensemble; (2) how to use the multiple templates information effectively.
Most systems store multiple templates of the same finger in order to represent the finger better, but when the number of templates is larger, the resource of computing and storing is needed more.
However, our results show that COI PCR primers can be effective in amplifying multiple templates.
PCR-based in vitro recombination is often observed in reactions with multiple templates [ 13, 19].
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