Multi-sided compression performance assessment of ABI SOLiD WES data

Research output: Contribution to journalArticlepeer-review

Abstract

Data storage is a major and growing part of IT budgets for research since many years. Especially in biology, the amount of raw data products is growing continuously, and the advent of the so-called "next-generation" sequencers has made things worse. Affordable prices have pushed scientists to massively sequence whole genomes and to screen large cohort of patients, thereby producing tons of data as a side effect. The need for maximally fitting data into the available storage volumes has encouraged and welcomed new compression algorithms and tools. We focus here on state-of-the-art compression tools and measure their compression performance on ABI SOLiD data.

Original languageEnglish
Pages (from-to)309-318
Number of pages10
JournalAlgorithms
Volume6
Issue number2
DOIs
Publication statusPublished - Jun 2013

Keywords

  • Data compression
  • Genomics
  • Next-generation sequencing
  • SOLiD

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computational Mathematics
  • Numerical Analysis
  • Theoretical Computer Science

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