Abstract
DNA Sequence Alignment is one of the most basic and most important operations in bioinformatics. In this paper, we put forward to SDkS algorithm based on k-tuple statistic, which is a kind of probability method. The positive transition probability matrix, the negative transition probability matrix, and the logarithmic ration are computed based on Markov model. After obtaining converting sequence, we get the results of k-tuple statistic. Subsequently, the similarity measurement can be gained according to above parameters. When the minimum support is given, we can identify two DNA sequences is similarity or not. The experimental results show that SDkS algorithm has better effective performance in saving computing time.
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 callMore From: DEStech Transactions on Computer Science and Engineering
Disclaimer: 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.
