FaStore: A space-saving solution for raw sequencing data

Lukasz Roguski, Idoia Ochoa, Mikel Hernaez, Sebastian Deorowicz

Research output: Contribution to journalArticle

Abstract

Motivation: The affordability of DNA sequencing has led to the generation of unprecedented volumes of raw sequencing data. These data must be stored, processed and transmitted, which poses significant challenges. To facilitate this effort, we introduce FaStore, a specialized compressor for FASTQ files. FaStore does not use any reference sequences for compression and permits the user to choose from several lossy modes to improve the overall compression ratio, depending on the specific needs. Results: FaStore in the lossless mode achieves a significant improvement in compression ratio with respect to previously proposed algorithms. We perform an analysis on the effect that the different lossy modes have on variant calling, the most widely used application for clinical decision making, especially important in the era of precision medicine. We show that lossy compression can offer significant compression gains, while preserving the essential genomic information and without affecting the variant calling performance.

Original languageEnglish (US)
Pages (from-to)2748-2756
Number of pages9
JournalBioinformatics
Volume34
Issue number16
DOIs
StatePublished - Jan 1 2018
Externally publishedYes

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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