The identification of protein-coding regions in DNA sequence using digital signal process- ing methods is one of the central issues in bioinformatics. In this paper, a multirate struc- ture is proposed for the identif...The identification of protein-coding regions in DNA sequence using digital signal process- ing methods is one of the central issues in bioinformatics. In this paper, a multirate struc- ture is proposed for the identification of protein-coding regions whose input sampling rate is same as output sampling rate. The multirate structure consists of cascade com- bination of decimation filter, kernel filter and interpolation filter. The decimation filter is a complex filter, the kernel filter is an FIR lowpass filter and the interpolation filter is a moving average filter. Polyphase decomposition is applied on both decimation filter and interpolation filter for computationally efficient implementation. The potential of the proposed method is evaluated in comparison with existing methods using standard datasets. The results show that the proposed method improves the identification accu- racy of protein-coding regions to a great extent compared to its counterparts.展开更多
文摘The identification of protein-coding regions in DNA sequence using digital signal process- ing methods is one of the central issues in bioinformatics. In this paper, a multirate struc- ture is proposed for the identification of protein-coding regions whose input sampling rate is same as output sampling rate. The multirate structure consists of cascade com- bination of decimation filter, kernel filter and interpolation filter. The decimation filter is a complex filter, the kernel filter is an FIR lowpass filter and the interpolation filter is a moving average filter. Polyphase decomposition is applied on both decimation filter and interpolation filter for computationally efficient implementation. The potential of the proposed method is evaluated in comparison with existing methods using standard datasets. The results show that the proposed method improves the identification accu- racy of protein-coding regions to a great extent compared to its counterparts.
