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DNA sequence compression using the burrows-wheeler transform.

Don Adjeroh1, Yong Zhang, Amar Mukherjee

  • 1Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV 26506-6109, USA.

Proceedings. IEEE Computer Society Bioinformatics Conference
|April 20, 2005
PubMed
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This study introduces new off-line methods for DNA sequence compression using the Burrows-Wheeler Transform (BWT). These methods leverage the unique repetition structures found in biological sequences for efficient data reduction.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Data Compression

Background:

  • Biological sequences exhibit a high prevalence of short repeating patterns.
  • Efficient compression of DNA sequences is crucial for genomic data management.

Purpose of the Study:

  • To develop and investigate off-line dictionary-oriented compression methods for DNA sequences.
  • To exploit inherent repetition structures in biological data for improved compression ratios.

Main Methods:

  • Utilizing the Burrows-Wheeler Transform (BWT) as the foundational compression technique.
  • Analyzing repetition patterns through the relationship between BWT and pattern matching data structures like suffix trees and suffix arrays.

Main Results:

Related Experiment Videos

  • Proposed off-line compression methods tailored to DNA sequence characteristics.
  • Demonstrated the exploitation of specific repetition structures for enhanced compression.
  • Conclusions:

    • The developed off-line BWT-based approaches offer effective DNA sequence compression.
    • Integration of these methods into the BWT compression pipeline is feasible and beneficial.