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SimpLiFiCPM: A Simple and Lightweight Filter-Based Algorithm for Circular Pattern Matching.

Md Aashikur Rahman Azim1, Costas S Iliopoulos2, M Sohel Rahman1

  • 1A ℓ EDA Group, Department of CSE, Bangladesh University of Engineering & Technology, Dhaka 1215, Bangladesh.

International Journal of Genomics
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We introduce SimpLiFiCPM, a new algorithm for circular pattern matching (CPM) in biological data. This simple, lightweight method efficiently finds pattern rotations within texts, offering excellent performance compared to existing solutions.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Algorithm Design

Background:

  • Circular Pattern Matching (CPM) is crucial in biological sequence analysis.
  • Existing CPM algorithms can be computationally intensive.

Purpose of the Study:

  • To present SimpLiFiCPM, a novel, simple, and lightweight algorithm for CPM.
  • To evaluate SimpLiFiCPM's performance against state-of-the-art methods.

Main Methods:

  • Developed SimpLiFiCPM, a filter-based algorithm for CPM.
  • Compared SimpLiFiCPM's efficiency and accuracy with existing CPM algorithms.

Main Results:

  • SimpLiFiCPM demonstrates excellent performance in solving the CPM problem.
  • The algorithm's speed is attributed to its simple yet effective filtering mechanism.

Conclusions:

  • SimpLiFiCPM offers an efficient and practical solution for CPM in biological contexts.
  • The lightweight nature of SimpLiFiCPM makes it a valuable tool for sequence analysis.