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MFCompress: a compression tool for FASTA and multi-FASTA data.

Armando J Pinho1, Diogo Pratas

  • 1IEETA, Department of Electronics, Telecommunications and Informatics, University of Aveiro, 3810-193 Aveiro, Portugal.

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Summary
This summary is machine-generated.

MFCompress offers significant data compression for genomic FASTA files, achieving up to 50% greater gains than gzip. This tool aids in reducing storage needs for large genomic datasets.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • The increasing volume of genomic data presents storage challenges.
  • General-purpose compression tools like gzip are insufficient for optimal genomic data reduction.
  • Limited availability of specialized, reliable compression tools for genomic data.

Purpose of the Study:

  • To introduce MFCompress, a specialized tool for compressing FASTA and multi-FASTA files.
  • To evaluate the compression efficiency of MFCompress compared to existing methods.

Main Methods:

  • Development of MFCompress algorithm tailored for genomic sequence data.
  • Comparative analysis of MFCompress against gzip using FASTA and multi-FASTA datasets.

Main Results:

  • MFCompress achieves average compression gains of nearly 50% over gzip for multi-FASTA files.
  • Potential to double storage capacity for genomic data.
  • Achieved 8-fold size reductions on highly redundant datasets compared to gzip.

Conclusions:

  • MFCompress provides superior compression for FASTA and multi-FASTA files.
  • The tool offers a viable solution for managing large-scale genomic data storage.
  • MFCompress is freely available for non-commercial use.