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Practical Compressed Suffix Trees
Department of Computer Science, University of Chile, Santiago 8320000, Chile
NICTA Victoria Research Laboratory, Department of Computing and Information Systems; University of Melbourne, Victoria 3010, Australia;
* Author to whom correspondence should be addressed.
Received: 18 March 2013; in revised form: 24 April 2013 / Accepted: 26 April 2013 / Published: 21 May 2013
Abstract: The suffix tree is an extremely important data structure in bioinformatics. Classical implementations require much space, which renders them useless to handle large sequence collections. Recent research has obtained various compressed representations for suffix trees, with widely different space-time tradeoffs. In this paper we show how the use of range min-max trees yields novel representations achieving practical space/time tradeoffs. In addition, we show how those trees can be modified to index highly repetitive collections, obtaining the first compressed suffix tree representation that effectively adapts to that scenario.
Keywords: suffix trees; compressed data structures; repetitive sequence collections; bioinformatics
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MDPI and ACS Style
Abeliuk, A.; Cánovas, R.; Navarro, G. Practical Compressed Suffix Trees. Algorithms 2013, 6, 319-351.
Abeliuk A, Cánovas R, Navarro G. Practical Compressed Suffix Trees. Algorithms. 2013; 6(2):319-351.
Abeliuk, Andrés; Cánovas, Rodrigo; Navarro, Gonzalo. 2013. "Practical Compressed Suffix Trees." Algorithms 6, no. 2: 319-351.