Abstract
Due to the rapid increase in biological data dimension and acquisition rate, the traditional analysis methods are unable to achieve acceptable accuracy. Recently, Deep learning technologies have shown outstanding results in many domains; especially in pattern recognition in the field of bioinformatics. In this paper, we provide background of what deep learning and its frameworks. In addition, we review the state-of-the-art algorithms based on GPU to presenting the usage of them to guide computational biologists to know how to leverage deep learning to improve their methods.