DocumentCode :
2081652
Title :
The improvement and implementation in the algorithm of finding maximal motifs in DNA sequences
Author :
Yifan, Fu ; Dongdai, Zhou ; Shaochun, Zhong ; Ruiqing, Zhao
Author_Institution :
Ideal Inst. of Inf. Technol., Northeast normal Univ., Jilin, China
Volume :
1
fYear :
2008
fDate :
17-19 Nov. 2008
Firstpage :
176
Lastpage :
179
Abstract :
DNA sequences are formed by nucleotides A;C; G; T. Often, a particular word called motif can occur in many sequences of a group. There has been an algorithm to find both the frequent and the maximal motif in the DNA sequences, but it has some disadvantages. Such as the time and place cost is very high. In the paper, we build a tree based on the motif length to improve it, and implement a small system according to the original and improved algorithm. Then we compare the latest new algorithms about the problem with them, and give the empirical result of them.
Keywords :
DNA; bioinformatics; DNA sequences; maximal motifs; nucleotides; Costs; DNA; Educational institutions; Electronic learning; Frequency; Information technology; Intelligent systems; Knowledge engineering; Laboratories; Sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-2196-1
Electronic_ISBN :
978-1-4244-2197-8
Type :
conf
DOI :
10.1109/ISKE.2008.4730920
Filename :
4730920
Link To Document :
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