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genozip: a fast and efficient compression tool for VCF files.

Divon Lan1, Raymond Tobler1, Yassine Souilmi1

  • 1School of Biological Sciences, The Environment Institute, Faculty of Sciences, The University of Adelaide, Adelaide, SA 5005, Australia.

Bioinformatics (Oxford, England)
|May 15, 2020
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Summary
This summary is machine-generated.

Genozip offers superior lossless compression for Variant Call Format (VCF) files, achieving high compression ratios and fast speeds. This tool enhances genomic data management for researchers.

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Area of Science:

  • Bioinformatics
  • Genomics
  • Computational Biology

Background:

  • Variant Call Format (VCF) files are crucial for storing genomic variation data.
  • Efficient compression of large VCF files is essential for storage and transmission.
  • Existing compression tools may not offer optimal performance in terms of compression ratio or speed.

Purpose of the Study:

  • To introduce genozip, a novel lossless compression tool specifically designed for VCF files.
  • To evaluate the compression performance and speed of genozip compared to existing methods.
  • To provide an accessible and efficient solution for managing large genomic datasets.

Main Methods:

  • Development of genozip utilizing field-specific compression algorithms.
  • Implementation of techniques to fully leverage computational hardware resources.
  • Benchmarking genozip against other leading lossless compression tools for VCF files.

Main Results:

  • Genozip achieves the highest compression ratios among tested lossless compression tools.
  • Compression speeds are comparable to the fastest multi-threaded compressors available.
  • The tool demonstrates significant efficiency in compressing VCF data.

Conclusions:

  • Genozip represents a significant advancement in lossless compression for VCF files.
  • Its high compression ratios and competitive speeds offer substantial benefits for genomic data handling.
  • Genozip is a valuable tool for researchers working with large-scale genomic variation data.