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
Link To Document :
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