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BMC Bioinformatics

, 20:597 | Cite as

Correction to: GASAL2: a GPU accelerated sequence alignment library for high-throughput NGS data

  • Nauman AhmedEmail author
  • Jonathan Lévy
  • Shanshan Ren
  • Hamid Mushtaq
  • Koen Bertels
  • Zaid Al-Ars
Open Access
Correction

Correction to: BMC Bioinformatics (2019) 20:520

https://doi.org/10.1186/s12859-019-3086-9

Following publication of the original article [1], the author requested changes to the Figs. 4, 7, 8, 9, 12 and 14 to align these with the text. The corrected figures are supplied below.
Fig. 4

Packing the sequences on GPU. b1,b2,…, are the bases

Fig. 7

Total execution times for local alignment computing only the score and end-position. The execution time of CPU-based libraries is obtained with 56 threads

Fig. 8

Total execution times for local alignment computing start-position without traceback. The execution time of CPU-based libraries is obtained with 56 threads

Fig. 9

Total execution times for local alignment with traceback computation. The execution time of CPU-based libraries is obtained with 56 threads

Fig. 12

Total execution times for semi-global alignment with traceback computation. The execution time of CPU-based libraries is obtained with 56 threads except of SeqAn. For SeqAn the DS100 results are with 56 threads, whereas the DS150 and DS300 results are with 28 threads

Fig. 14

Total execution times for global alignment with traceback computation. The execution time of CPU-based libraries is obtained with 56 threads except for SeqAn. For SeqAn the DS100 results are with 56 threads, whereas the DS150 and DS300 results are with 28 threads

The original article [1] has been corrected.

[Typesetter, please insert new supplied figure in package]

Reference

  1. 1.
    Ahmed N, et al. GASAL2: a GPU accelerated sequence alignment library for high-throughput NGS data. BMC Bioinformatics. 2019;20:520.  https://doi.org/10.1186/s12859-019-3086-9.CrossRefPubMedPubMedCentralGoogle Scholar

Copyright information

© The Author(s). 2019

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 and Affiliations

  • Nauman Ahmed
    • 1
    Email author
  • Jonathan Lévy
    • 2
  • Shanshan Ren
    • 2
  • Hamid Mushtaq
    • 3
  • Koen Bertels
    • 2
  • Zaid Al-Ars
    • 2
  1. 1.Delft University of Technology, Delft, Netherlands and University of Engineering and TechnologyLahorePakistan
  2. 2.Delft University of TechnologyDelftNetherlands
  3. 3.Maastricht UMC+MaastrichtNetherlands

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