Abstract
In biological information systems, the analysis of biological sequences is a major problem in today’s bioinformatics research. In this paper, a method for protein sequence similarity analysis based on discrete wavelet transform and fractal dimension and single clustering method is proposed. Multivariate decomposition of digital signals containing biological information is performed by discrete wavelets. Using the Higuchi algorithm based on wavelet decomposition, the fractal characteristics of the primary structure of the protein were studied using multiple properties of the protein. The distance matrix between different proteins is obtained by analytical calculation. Phylogenetic tree, and similar analysis of protein sequences. The results show that compared with the traditional methods, wavelet transform and fractal dimension methods and multiple attribute analysis can analyze the similarity of protein sequences more comprehensively, reliably and quickly.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
