Next-generation sequencing data interpretation: Enhancing reproducibility and accessibility

Anton Nekrutenko, James Taylor

Research output: Contribution to journalReview articlepeer-review

189 Scopus citations

Abstract

Areas of life sciences research that were previously distant from each other in ideology, analysis practices and toolkits, such as microbial ecology and personalized medicine, have all embraced techniques that rely on next-generation sequencing instruments. Yet the capacity to generate the data greatly outpaces our ability to analyse it. Existing sequencing technologies are more mature and accessible than the methodologies that are available for individual researchers to move, store, analyse and present data in a fashion that is transparent and reproducible. Here we discuss currently pressing issues with analysis, interpretation, reproducibility and accessibility of these data, and we present promising solutions and venture into potential future developments.

Original languageEnglish (US)
Pages (from-to)667-672
Number of pages6
JournalNature Reviews Genetics
Volume13
Issue number9
DOIs
StatePublished - Sep 1 2012

All Science Journal Classification (ASJC) codes

  • Molecular Biology
  • Genetics
  • Genetics(clinical)

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