DocumentCode :
2341623
Title :
DNA sequence compression using the Burrows-Wheeler Transform
Author :
Adjeroh, Don ; Zhang, Yong ; Mukherjee, Amar ; Powell, Matt ; Bell, Tim
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Central Florida, Orlando, FL, USA
fYear :
2002
fDate :
2002
Firstpage :
303
Lastpage :
313
Abstract :
We investigate off-line dictionary oriented approaches to DNA sequence compression, based on the Burrows-Wheeler Transform (BWT). The preponderance of short repeating patterns is an important phenomenon in biological sequences. Here, we propose off-line methods to compress DNA sequences that exploit the different repetition structures inherent in such sequences. Repetition analysis is performed based on the relationship between the BWT and important pattern matching data structures, such as the suffix tree and suffix array. We discuss how the proposed approach can be incorporated in the BWT compression pipeline.
Keywords :
DNA; biology computing; data compression; data structures; medical computing; pattern matching; sequences; transforms; Burrows-Wheeler Transform; DNA sequence compression; biological sequences; offline dictionary; pattern matching data structures; repetition structures; short repeating patterns; suffix array; suffix tree; Bioinformatics; Computer science; DNA; Databases; Genomics; Humans; Organisms; Proteins; RNA; Sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics Conference, 2002. Proceedings. IEEE Computer Society
Print_ISBN :
0-7695-1653-X
Type :
conf
DOI :
10.1109/CSB.2002.1039352
Filename :
1039352
Link To Document :
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