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A survey of text processing tools for the automatic analysis of molecular sequences

  • Polish-Japanese Academy of Information Technology
  • Silesian University of Technology
  • Rice University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Automatic analysis of molecular sequences is an interdisciplinary field of science, with many analogies to the methodologies of analyses and understanding of natural languages. In both these fields the object of the study has a complex, hierarchical character, which results from natural evolution. In this paper we have presented a survey of textual processing algorithms in the aspect of their applications to molecular sequences. We have shown methods for solving problems for exact and approximate searches of patterns in texts: aligning and block aligning of molecular sequences and analyzing molecular sequences by using indexed structures and transformations. We have covered some recent developments in these fields and we have provided some examples of inferring biological knowledge by using text processing algorithms for molecular sequences.

Original languageEnglish
Title of host publicationAspects of Natural Language Processing - Essays Dedicated to Leonard Bolc on the Occasion of His 75th Birthday
EditorsMalgorzata Marciniak, Agnieszka Mykowiecka
Pages359-378
Number of pages20
DOIs
Publication statusPublished - 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5070 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • Burrows-Wheeler transform
  • Molecular sequences
  • Suffix arrays
  • Suffix trees
  • Text processing

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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