This paper has presented an experimental framework based on artificial neural networks such as the multilayer perceptron. The aim is to represent and classify genes with the use of deep learning algorithms. It is aimed at reducing the time needed for training such a network in addition to lowering the hardware requirements for its virtualization without sacrificing accuracy. Futhermore, this paper has proposed an open source, easy to modify graphical user interface using modern technologies for researchers within the field.