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FFC: a scalable FASTA compressor.

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FFC significantly accelerates FASTA file compression and decompression, outperforming existing methods like zstd and NAF. This new tool enhances practical performance for large biological sequence datasets.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Data Compression

Background:

  • FASTA format is standard for biological sequences.
  • Existing compressors prioritize compression ratio over speed.
  • Need for faster compression tools for large genomic datasets.

Purpose of the Study:

  • Introduce FFC, a novel FASTA compressor.
  • Evaluate FFC's compression and decompression speeds.
  • Compare FFC against high-performance compressors (zstd, NAF).

Main Methods:

  • Developed FFC, a scalable FASTA compressor.
  • Benchmarked FFC on seven single genomes.
  • Utilized a 14-core workstation and RAM-disk for experiments.

Main Results:

  • FFC achieved 4.7x and 11.4x higher compression speeds than zstd and NAF.
  • FFC delivered 3.5x and 2.7x faster decompression speeds than zstd and NAF.
  • Parallel zstd (pzstd) matched speed but had a 23% worse compression ratio.

Conclusions:

  • FFC offers superior practical performance for FASTA compression.
  • FFC provides significant speed improvements for handling large sequence data.
  • FFC is a valuable tool for bioinformatics and computational biology workflows.