Title :
Algorithms for acceptor sites recognition in DNA sequences
Author :
Zhang, Yong ; Ruan, Xiaogang
Author_Institution :
Coll. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., China
Abstract :
Recognition of acceptor sites is a part of splice sites recognition and is an important step in gene recognition. In this paper, we develop motif models for acceptor site and a pattern match algorithm. Using the Motif models, we can mine out the pattern information from acceptor site sequences. The recognition results show that this model can correctly recognize 88.50% of the total true acceptor sites and 91.50% of the total false acceptor sites the correlation coefficient is 0.8004.
Keywords :
DNA; pattern recognition; DNA sequences; Motif models; acceptor sites recognition; gene recognition; pattern match algorithm; Art; Control engineering; DNA; Databases; Educational institutions; Frequency; Hidden Markov models; Pattern matching; Sequences; Testing;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1343085