Property Suffix Array with Applications in Indexing Weighted Sequences

Author:

Charalampopoulos Panagiotis1ORCID,Iliopoulos Costas S.2,Liu Chang3,Pissis Solon P.4

Affiliation:

1. Department of Informatics, King’s College London, UK and Institute of Informatics, University of Warsaw, Stefana Banacha, Warsaw, Poland

2. Department of Informatics, King’s College London, Bush House, London, UK

3. Cancer Bioinformatics, School of Cancer and Pharmaceutical Science, King’s College London, UK

4. CWI, The Netherlands

Abstract

The suffix array is one of the most prevalent data structures for string indexing; it stores the lexicographically sorted list of suffixes of a given string. Its practical advantage compared to the suffix tree is space efficiency. In Property Indexing , we are given a string x of length n and a property Π, i.e., a set of Π- valid intervals over x so that a pattern p occurs in x if and only if x has an occurrence of p that lies entirely within an interval of Π. A suffix-tree-like index over the valid prefixes of suffixes of x can be built in time and space O ( n ). We show here how to directly build a suffix-array-like index, the Property Suffix Array (PSA), in time and space O ( n ). We mainly draw our motivation from weighted (probabilistic) sequences: sequences of probability distributions over a given alphabet. Given a probability threshold 1/ z , we say that a string p of length m matches a weighted sequence x of length n at starting position i if the product of probabilities of the letters of p at positions i , …, i + m − 1 in x is at least 1/ z . Our algorithm for building the PSA can be directly applied to build an O ( nz )-sized suffix-array-like index over x in time and space O ( nz ). Finally, we present extensive experimental results showing that our new indexing data structure is well suited for real-world applications.

Funder

European Research Council

A.G. Leventis Foundation educational

Publisher

Association for Computing Machinery (ACM)

Subject

Theoretical Computer Science

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