Biological data is currently being exponentially increasing and causing an essential issue when meaningful information is required to be extracted from massive DNA-protein databases. Various methods related to bioinformatics computations have been used to extract, search, integrate, and analyze biological data in efficient ways. In particular, the decision tree approach is one of the common approaches applied in processing biological data. However, when dealing with massive datasets, the time

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... eded to build the decision tree will increase. Therefore, parallel computing is used to accelerate the construction of the decision tree. This paper provides an overview and background of the state of the art of Graphics Processing Unit (GPU) parallel computing approaches and other parallel computing approaches that are being used to build a decision tree.