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  • Correction
  • Open Access

Correction to: Comprehensive benchmarking and ensemble approaches for metagenomic classifiers

  • 1, 2, 3,
  • 4,
  • 2, 3, 5,
  • 6,
  • 2, 3,
  • 2, 3,
  • 7,
  • 1, 2, 3,
  • 2, 3,
  • 2, 3,
  • 8,
  • 9, 10,
  • 9,
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  • 11,
  • 4,
  • 7,
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  • 13Email author and
  • 2, 3, 14Email author
Genome Biology201920:72

https://doi.org/10.1186/s13059-019-1687-2

  • Received: 1 April 2019
  • Accepted: 1 April 2019
  • Published:

The original article was published in Genome Biology 2017 18:182

Correction to: Genome Biol (2017) 18:182

https://doi.org/10.1186/s13059-017-1299-7

Following publication of the original article [1], the authors would like to highlight the following two corrections:
  1. 1)
    The updated “Availability of data and materials” declaration to the article:
     
  2. 2)

    The authors would like to clarify that the kraken db build command in the manuscript is for the bacterial database; the command for the standard db is available through the kraken manual: kraken-build --standard --db $DBNAME

     

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)
Tri-Institutional Program in Computational Biology and Medicine, New York, NY, USA
(2)
Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10021, USA
(3)
The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY 10021, USA
(4)
Department of Computer Science and Engineering, University of California, Riverside, CA 92521, USA
(5)
School of Medicine, New York Medical College, Valhalla, NY 10595, USA
(6)
Accelerated Discovery Lab, IBM Almaden Research Center, San Jose, CA 95120, USA
(7)
One Codex, Reference Genomics, San Francisco, CA 94103, USA
(8)
University of Vermont, Burlington, VT 05405, USA
(9)
CosmosID, Inc, Rockville, MD 20850, USA
(10)
Center for Bioinformatics and Computational Biology, University of Maryland Institute for Advanced Computer Studies (UMIACS), College Park, MD 20742, USA
(11)
HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA
(12)
Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
(13)
Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA 19104, USA
(14)
The Feil Family Brain and Mind Research Institute, New York, NY 10065, USA

Reference

  1. McIntyre ABR, et al. Comprehensive benchmarking and ensemble approaches for metagenomic classifiers. Genome Biol. 2017;18:182. https://doi.org/10.1186/s13059-017-1299-7.View ArticlePubMedPubMed CentralGoogle Scholar

Copyright

© The Author(s). 2019

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