WSA Functions-Based Identification of 16S rRNA Functional Domains
We present a new approach for the identification of RNA molecules functional domains. Based on the use of weakly self-affine functions, Our method allows to segmenting of the signal into parts and gives segmentation marks which are multifractally homogeneous. It is found that the method can be applied to estimate multifractal spectra for identification of 16S rRNA functional domains. In this application. The signal contains 1542 samples, we set σ(J) = j2 and j0=5 and used the Daubechies 16 wavelet, a threshold of ε = 5 yields a modeling with three WSA functions, where 70％ of the coefficients are processed. Our result show that 16S rRNA functional domains identification, the original signal and the model are visually almost indistinguishable. The segmentation is relevant since the marks almost perfectly coincide with the three functional domains of 16S rRNA secondary structure. The slight discrepancy between the position of the segmentation marks and the exact location of the units is due to the fact that, in the current implementation, the marks are restricted to be on dyadic points.
weakly self-affine functions identification 16S rRNA functional domains
XiaoZhou Chen
Modern Biology Research Center Yunnan University Kunming, China School of Mathematics and Computer Science Yunnan Nationalities University Kunming, China
国际会议
海口
英文
25-28
2011-02-22（万方平台首次上网日期，不代表论文的发表时间）