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An Algorithm Based on Suffix Tree for Identification of Repeats in DNA Sequence

Author: WangXiaoWu
Tutor: HuoHongWei
School: Xi'an University of Electronic Science and Technology
Course: Computer Software and Theory
Keywords: Bioinformatics Complex body identification Suffix tree RepSeeker
CLC: TP301.6
Type: Master's thesis
Year: 2008
Downloads: 59
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Repeats recognition is one of the primary means of bioinformatic analysis of the genome sequence . Repeats DNA in eukaryotic genes occupy a very important position . The genetic laws of genome evolution rules and many diseases can be found by identifying repeat . Many transposons of repeat sequences as can be coding regions appear repeatedly in the sequence of the genome to identify these repeats played a very important role in genome decoding . By taking into account the length and frequency of occurrence of the sequence repeats , the identification of a suffix tree primary repeat RepSeeker algorithm . The algorithm uses the lowest limit frequency , and maximize the overlap merger extends the length of the repeat . Algorithms to DNA sequence suffix tree structure as input , and as a means to query algorithm based on the suffix tree , the resulting primary input DNA sequence repeat classification . In order to further improve the efficiency of RepSeeker algorithm , the suffix tree construction algorithm adaptive improvements . Leaves the the information array LL ( LeafList ) and join in the branch node in the structure of the suffix tree to a leaf node number . On this basis , improved query algorithm based on suffix trees , and thus avoiding RepSeeker algorithm for the high frequency sub - tree traversal . Ukkonen suffix tree construction algorithm improvements to increase the space requirements , the time complexity of the structure suffix tree algorithm little affected . NCBI several typical DNA sequence used in the test as a test object , and improvements the Ukkonen before repeat recognition algorithm to do a comparative analysis . In the case of no loss of accuracy , the results show that RepSeeker great extent reducing the running time .

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