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  • Erratum
  • Open Access

Erratum to: A quantitative assessment of the Hadoop framework for analyzing massively parallel DNA sequencing data

  • 1Email author,
  • 1,
  • 2 and
  • 3
GigaScience20154:61

https://doi.org/10.1186/s13742-015-0100-7

  • Published:

The original article was published in GigaScience 2015 4:26

Erratum

The original version of this article [1] unfortunately contained a publisher error in Fig. 4. The figure was incorrectly captured as a duplicate of Fig. 5. The correct Fig. 4 has been published in this Erratum. See Fig. 1.
Fig. 1
Fig. 1

The ratio of the F Hadoop /F HPC as a function of the reciprocal dataset size in Gb. The pipelines were run on the Hadoop I and II clusters, as well as a 16 core HPC node. The analytical curve f(x) = (a1x + b1)/(a2x + b2) was used to fit the data for the stretches of linear scaling of calculation time on the HPC platform. The outliers are marked with crossed symbols

Notes

Declarations

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Department of Information Technology, Uppsala University, P.O. Box 337, Uppsala, SE-75105, Sweden
(2)
Department of Physical Chemistry, Institute of Chemistry, St-Petersburg State University, Saint-Petersburg, Russia
(3)
Department of Pharmaceutical Biosciences and Science for Life Laboratory, Uppsala University, P.O. Box 541, Uppsala, SE-75124, Sweden

Reference

  1. Siretskiy A, Sundqvist T, Voznesenskiy M, Spjuth O. A quantitative assessment of the Hadoop framework for analyzing massively parallel DNA sequencing data. GigaScience. 2015;4:26.View ArticlePubMedPubMed CentralGoogle Scholar

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