Novel Results on the Number of Runs of the Burrows-Wheeler-Transform
Novel Results on the Number of Runs of the Burrows-Wheeler-Transform
复制标题
Burrows-Wheeler-变换运行次数的新结果
DOI:
10.1007/978-3-030-67731-2_18
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发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Toffanello Anna
中科院分区:
文献类型:
--
作者:
Giuliani Sara;Inenaga Shunsuke;Liptak Zsuzsanna;Prezza Nicola;Sciortino Marinella;Toffanello Anna
The Burrows-Wheeler-Transform (BWT), a reversible string transformation, is one of the fundamental components of many current data structures in string processing. It is central in data compression, as well as in efficient query algorithms for sequence data, such as webpages, genomic and other biological sequences, or indeed any textual data. The BWT lends itself well to compression because its number of equal-letter-runs (usually referred to asr) is often considerably lower than that of the original string; in particular, it is well suited for strings with many repeated factors. In fact, much attention has been paid to therparameter as measure of repetitiveness, especially to evaluate the performance in terms of both space and time of compressed indexing data structures.In this paper, we investigate, the ratio ofrand of the number of runs of the BWT of the reverse ofv. Kempa and Kociumaka [FOCS 2020] gave the first non-trivial upper bound as, for any stringvof lengthn. However, nothing is known about the tightness of this upper bound. We present infinite families of binary strings for whichholds, thus giving the first non-trivial lower bound on, the maximum over all strings of lengthn.Our results suggest thatris not an ideal measure of the repetitiveness of the string, since the number of repeated factors is invariant between the string and its reverse. We believe that there is a more intricate relationship between the number of runs of the BWT and the string’s combinatorial properties.
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DOI:
10.1051/ita:2005038
发表时间:
2006
期刊:
RAIRO Theor. Informatics Appl.
影响因子:
--
作者:
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通讯作者:
C. Reutenauer
DOI:
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发表时间:
2018
期刊:
Journal of Discrete Algorithms
影响因子:
--
作者:
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通讯作者:
Sakamoto Hiroshi
影响因子:
2.5
作者:
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通讯作者:
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DOI:
10.1145/3188745.3188814
发表时间:
2017
期刊:
Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing
影响因子:
--
作者:
Dominik Kempa;N. Prezza
通讯作者:
N. Prezza
DOI:
10.1007/3-540-63246-8_15
发表时间:
1997
期刊:
Structures in Logic and Computer Science
影响因子:
--
作者:
A. Luca
通讯作者:
A. Luca