Nature Reviews Genetics 13, 667-672 (September 2012) | doi:10.1038/nrg3305

Article series: Applications of next-generation sequencing

OpinionNext-generation sequencing data interpretation: enhancing reproducibility and accessibility

Anton Nekrutenko1 & James Taylor2  About the authors


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.

Author affiliations

  1. Anton Nekrutenko is at the Huck Institutes of the Life Sciences and the Department of Biochemistry and Molecular Biology, Penn State University, Wartik 505, University Park, Pennsylvania 16802, USA.
  2. James Taylor is at the Departments of Biology and Mathematics and Computer Science, Emory University, 1510 Clifton Road NE, Room 2006, Atlanta, Georgia 30322, USA.

Correspondence to: Anton Nekrutenko1 Email: anton@bx.psu.edul

Correspondence to: James Taylor2 Email:

Published online 17 August 2012