The analysis of DNA shuffling by nMDS

DNA shuffling is widely used for optimizing complex properties contained within DNA and proteins. However, success rate of it is deeply dependent upon which pair of DNAs is employed for DNA shuffling. In this paper, we have used non-metric multidimensional scaling (nMDS) to select best pair of DNAs for it. It turns out that nMDS can sometimes choose better pairs of DNAs than hierarchical clustering which is frequently used to select the suitable pair of DNAs.