Resampling-based hypothesis testing procedures such as bootstrapping and permutations tests are widely used when the distribution of the test statistic is analytically intractable.However,these test procedures are often computationally intensive,especially when the dataset is large,the desired significant level is very small or there are many tests to perform,all of which are very common in modern genetics and other studies in life sciences.