DocumentCode
2073836
Title
Compressing biological sequences using self adjusting data structures
Author
Antoniou, Dimitris ; Theodoridis, Evangelos ; Tsakalidis, Athanasios
Author_Institution
Comput. Eng. & Inf. Dept., Univ. of Patras Greece, Patras, Greece
fYear
2010
fDate
3-5 Nov. 2010
Firstpage
1
Lastpage
5
Abstract
In this paper, we investigate experimentally the exploitation of self adjusting data structures for compressing biological sequences. We have evaluated the practical performance of splay tree alternates in comparison with the original version of splay trees. In this investigation, we utilize plain splay trees, a log log n-competitive variation, and a randomized version of splay trees. It is experimentally observed that the compression achieved in the case of the log log n-competitive technique is, as expected, more efficient than the one of the plain splay trees.
Keywords
DNA; biology computing; molecular biophysics; molecular configurations; trees (mathematics); DNA sequences; biological sequence compression; log log n-competitive variation; plain splay trees; self adjusting data structures; splay tree randomized version; Bioinformatics; Biological information theory; Genomics;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology and Applications in Biomedicine (ITAB), 2010 10th IEEE International Conference on
Conference_Location
Corfu
Print_ISBN
978-1-4244-6559-0
Type
conf
DOI
10.1109/ITAB.2010.5687689
Filename
5687689
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