科研之友
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摘要
The clustering of biological sequences into biologically meaningful classesdenotes two computationally complex challenges: the choice of a biologically pertinent andcomputable criterion to evaluate the clusters homogenity, and the optimal exploration ofthe solution space. Here we are analysing the clustering potential of a new method ofsequence similarity based on statistical sequence content evaluation. Applying on the samedata the popular CLUSTAL W method for sequence similarity we contrasted the results.The analysis, computational efficiency and high accuracy of the results from the newmethod is encouraging for further development that could make it an appealing alternativeto the existent methods.
