Next-generation sequencing data interpretation: Enhancing reproducibility and accessibility

Anton Nekrutenko, James Taylor

Research output: Contribution to journalReview article

169 Citations (Scopus)

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

Fingerprint

Precision Medicine
Biological Science Disciplines
Ecology
Research Personnel
Technology
Research

All Science Journal Classification (ASJC) codes

  • Molecular Biology
  • Genetics
  • Genetics(clinical)

Cite this

@article{9d1e342f38454e2392acbc48e4958700,
title = "Next-generation sequencing data interpretation: Enhancing reproducibility and accessibility",
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.",
author = "Anton Nekrutenko and James Taylor",
year = "2012",
month = "9",
day = "1",
doi = "10.1038/nrg3305",
language = "English (US)",
volume = "13",
pages = "667--672",
journal = "Nature Reviews Genetics",
issn = "1471-0056",
publisher = "Nature Publishing Group",
number = "9",

}

Next-generation sequencing data interpretation : Enhancing reproducibility and accessibility. / Nekrutenko, Anton; Taylor, James.

In: Nature Reviews Genetics, Vol. 13, No. 9, 01.09.2012, p. 667-672.

Research output: Contribution to journalReview article

TY - JOUR

T1 - Next-generation sequencing data interpretation

T2 - Enhancing reproducibility and accessibility

AU - Nekrutenko, Anton

AU - Taylor, James

PY - 2012/9/1

Y1 - 2012/9/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84865226981&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84865226981&partnerID=8YFLogxK

U2 - 10.1038/nrg3305

DO - 10.1038/nrg3305

M3 - Review article

C2 - 22898652

AN - SCOPUS:84865226981

VL - 13

SP - 667

EP - 672

JO - Nature Reviews Genetics

JF - Nature Reviews Genetics

SN - 1471-0056

IS - 9

ER -