It is accepted that non-coding RNAs (ncRNAs) play very important roles in the cellular process of translation and relates to Human Severe Diseases. In this work, 14 disease-related ncRNA sequences are selected from the NONCODE database. These different ncRNAs play regulator or constituent roles and relate to Cancer. In this work, we map and analyze the Z curves of the selected sequences using Z-curve method. Then we compare the curves and calculate the base content, respectively. We can see that there are almost same curves and base content for one kind of ncRNAs playing same roles. Meanwhile, there are obviously differences in some curves of ncRNA sequences having different functions and coming from different organisms. The conclusion is that the feature of Z-curves is a criterion to recognize ncRNAs and the Z-curve is connected with the function and organisms.
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