License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.CPM.2021.21
URN: urn:nbn:de:0030-drops-139723
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2021/13972/
Nishimoto, Takaaki ;
Tabei, Yasuo
R-enum: Enumeration of Characteristic Substrings in BWT-runs Bounded Space
Abstract
Enumerating characteristic substrings (e.g., maximal repeats, minimal unique substrings, and minimal absent words) in a given string has been an important research topic because there are a wide variety of applications in various areas such as string processing and computational biology. Although several enumeration algorithms for characteristic substrings have been proposed, they are not space-efficient in that their space-usage is proportional to the length of an input string. Recently, the run-length encoded Burrows-Wheeler transform (RLBWT) has attracted increased attention in string processing, and various algorithms for the RLBWT have been developed. Developing enumeration algorithms for characteristic substrings with the RLBWT, however, remains a challenge. In this paper, we present r-enum (RLBWT-based enumeration), the first enumeration algorithm for characteristic substrings based on RLBWT. R-enum runs in O(n log log (n/r)) time and with O(r log n) bits of working space for string length n and number r of runs in RLBWT. Here, r is expected to be significantly smaller than n for highly repetitive strings (i.e., strings with many repetitions). Experiments using a benchmark dataset of highly repetitive strings show that the results of r-enum are more space-efficient than the previous results. In addition, we demonstrate the applicability of r-enum to a huge string by performing experiments on a 300-gigabyte string of 100 human genomes.
BibTeX - Entry
@InProceedings{nishimoto_et_al:LIPIcs.CPM.2021.21,
author = {Nishimoto, Takaaki and Tabei, Yasuo},
title = {{R-enum: Enumeration of Characteristic Substrings in BWT-runs Bounded Space}},
booktitle = {32nd Annual Symposium on Combinatorial Pattern Matching (CPM 2021)},
pages = {21:1--21:21},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-186-3},
ISSN = {1868-8969},
year = {2021},
volume = {191},
editor = {Gawrychowski, Pawe{\l} and Starikovskaya, Tatiana},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2021/13972},
URN = {urn:nbn:de:0030-drops-139723},
doi = {10.4230/LIPIcs.CPM.2021.21},
annote = {Keywords: Enumeration algorithm, Burrows-Wheeler transform, Maximal repeats, Minimal unique substrings, Minimal absent words}
}