Matching statistics—a survey

• An extensive and well-integrated survey article on the Matching Statistics, a data structure of interest in string processing, data compression, and genomics. Given two strings S and R , the matching statistics of S with respect to R is an array of length | S | whose i th entry encodes the longest prefix of the i th suffix of S that occurs in R . Introduced by Chang and Lawler in 1990 for approximate string matching, matching statistics have since found a variety of applications in computational biology, data compression, and string processing. In this article, we survey these applications, as well as the main ideas underlying the different algorithms for efficient construction of the matching statistics that have appeared in the last 30 years.

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Publication Details

Journal
Theoretical Computer Science
Published
2026-02-04
DOI
https://doi.org/10.1016/j.tcs.2026.115796
Primary Topic
Algorithms and Data Compression
Type
article
Field-Weighted Citation Impact
0.00
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article

Matching statistics—a survey

Francesco Masillo, Simon J. Puglisi, Zsuzsanna Lipták
Theoretical Computer Science
Algorithms and Data Compression
article

Matching statistics—a survey

Francesco Masillo, Simon J. Puglisi, Zsuzsanna Lipták
article en

Abstract

• An extensive and well-integrated survey article on the Matching Statistics, a data structure of interest in string processing, data compression, and genomics. Given two strings S and R , the matching statistics of S with respect to R is an array of length | S | whose i th entry encodes the longest prefix of the i th suffix of S that occurs in R . Introduced by Chang and Lawler in 1990 for approximate string matching, matching statistics have since found a variety of applications in computational biology, data compression, and string processing. In this article, we survey these applications, as well as the main ideas underlying the different algorithms for efficient construction of the matching statistics that have appeared in the last 30 years.

Theoretical Computer ScienceVol. 1071
University of Verona (IT), University of Helsinki (FI), TU Dortmund University (DE)
Openalex Percentile: Top 70%
Algorithms and Data Compression
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