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Degenerate String Comparison and Applications

Authors Mai Alzamel, Lorraine A. K. Ayad, Giulia Bernardini, Roberto Grossi, Costas S. Iliopoulos, Nadia Pisanti, Solon P. Pissis, Giovanna Rosone

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Author Details

Mai Alzamel
  • Department of Informatics, King’s College London, UK and Department of Computer Science, King Saud University, KSA
Lorraine A. K. Ayad
  • Department of Informatics, King’s College London, UK
Giulia Bernardini
  • Department of Informatics, Systems and Communication (DISCo), University of Milan-Bicocca, Italy
Roberto Grossi
  • Department of Computer Science, University of Pisa, Italy and ERABLE Team, INRIA, France
Costas S. Iliopoulos
  • Department of Informatics, King’s College London, UK
Nadia Pisanti
  • Department of Computer Science, University of Pisa, Italy and ERABLE Team, INRIA, France
Solon P. Pissis
  • Department of Informatics, King’s College London, UK
Giovanna Rosone
  • Department of Computer Science, University of Pisa, Italy

Funding

  • Bernardini, Giulia: Partially supported by the project UNIPI PRA_2017_44 "Advanced computational methodologies for the analysis of biomedical data".
  • Grossi, Roberto: Partially supported by the project UNIPI PRA_2017_44 "Advanced computational methodologies for the analysis of biomedical data".
  • Pisanti, Nadia: Partially supported by the project MIUR-SIR CMACBioSeq "Combinatorial methods for analysis and compression of biological sequences" grant n. RBSI146R5L and the project UNIPI PRA_2017_44 "Advanced computational methodologies for the analysis of biomedical data".
  • Pissis, Solon P.: Partially supported by the Royal Society project IE 161274 "Processing uncertain sequences: combinatorics and applications".
  • Rosone, Giovanna: Partially supported by the project MIUR-SIR CMACBioSeq "Combinatorial methods for analysis and compression of biological sequences" grant n. RBSI146R5L, the Royal Society project IE 161274 "Processing uncertain sequences: combinatorics and applications", and the project UNIPI PRA_2017_44 "Advanced computational methodologies for the analysis of biomedical data".

Cite AsGet BibTex

Mai Alzamel, Lorraine A. K. Ayad, Giulia Bernardini, Roberto Grossi, Costas S. Iliopoulos, Nadia Pisanti, Solon P. Pissis, and Giovanna Rosone. Degenerate String Comparison and Applications. In 18th International Workshop on Algorithms in Bioinformatics (WABI 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 113, pp. 21:1-21:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)
https://doi.org/10.4230/LIPIcs.WABI.2018.21

Abstract

A generalised degenerate string (GD string) S^ is a sequence of n sets of strings of total size N, where the ith set contains strings of the same length k_i but this length can vary between different sets. We denote the sum of these lengths k_0, k_1,...,k_{n-1} by W. This type of uncertain sequence can represent, for example, a gapless multiple sequence alignment of width W in a compact form. Our first result in this paper is an O(N+M)-time algorithm for deciding whether the intersection of two GD strings of total sizes N and M, respectively, over an integer alphabet, is non-empty. This result is based on a combinatorial result of independent interest: although the intersection of two GD strings can be exponential in the total size of the two strings, it can be represented in only linear space. A similar result can be obtained by employing an automata-based approach but its cost is alphabet-dependent. We then apply our string comparison algorithm to compute palindromes in GD strings. We present an O(min{W,n^2}N)-time algorithm for computing all palindromes in S^. Furthermore, we show a similar conditional lower bound for computing maximal palindromes in S^. Finally, proof-of-concept experimental results are presented using real protein datasets.

Subject Classification

ACM Subject Classification
  • Theory of computation → Pattern matching
Keywords
  • degenerate strings
  • generalised degenerate strings
  • elastic-degenerate strings
  • string comparison
  • palindromes

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