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A basic analysis toolkit for biological sequences.

Raffaele Giancarlo1, Alessandro Siragusa, Enrico Siragusa

  • 1Dipartimento di Matematica Applicazioni, Università di Palermo, Italy. raffaele@math.unipa.it

Algorithms for Molecular Biology : AMB
|September 20, 2007
PubMed
Summary
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This study introduces BATS, a software library for fundamental sequence analysis tasks like local and global alignments. It bridges the gap between theory and practice by offering a unified, user-friendly package for bioinformatics research.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Software Engineering

Background:

  • Sequence analysis is crucial in bioinformatics.
  • Existing tools often lack integration for fundamental algorithms.
  • A unified software package for sequence alignment and filtering is needed.

Purpose of the Study:

  • To present BATS, a comprehensive software library for sequence analysis.
  • To integrate essential algorithms for local and global alignments.
  • To provide statistical filtering capabilities for sequence datasets.

Main Methods:

  • Implementation of approximate string matching for local alignments.
  • Utilization of longest common subsequence and affine/concave gap costs for global alignments.
  • Inclusion of z-score computation for statistical significance of filtered strings.

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Main Results:

  • BATS provides a consistent software package for fundamental sequence analysis tasks.
  • The library includes algorithms for local and global alignments with various gap cost functions.
  • BATS supports string filtering and statistical significance assessment.

Conclusions:

  • BATS bridges the gap between sequence analysis theory and practical application.
  • The library offers an extensible and easy-to-use solution for bioinformatics researchers.
  • BATS is available as C/C++ and Perl functions, with Bioperl interfacing and GUI support.