Literature DB >> 26664721

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

Alexey Siretskiy1, Tore Sundqvist1, Mikhail Voznesenskiy2, Ola Spjuth3.   

Abstract

[This corrects the article DOI: 10.1186/s13742-015-0058-5.].

Year:  2015        PMID: 26664721      PMCID: PMC4674941          DOI: 10.1186/s13742-015-0100-7

Source DB:  PubMed          Journal:  Gigascience        ISSN: 2047-217X            Impact factor:   6.524


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

The ratio of the F/F 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

The ratio of the F/F 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
  1 in total

1.  A quantitative assessment of the Hadoop framework for analyzing massively parallel DNA sequencing data.

Authors:  Alexey Siretskiy; Tore Sundqvist; Mikhail Voznesenskiy; Ola Spjuth
Journal:  Gigascience       Date:  2015-06-04       Impact factor: 6.524

  1 in total

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