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

BMC Bioinformatics volume 20, Article number: 597 (2019) Cite this article

The Original Article was published on 25 October 2019

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
figure 1

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

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Fig. 7
figure 2

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

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Fig. 8
figure 3

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

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Fig. 9
figure 4

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

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Fig. 12
figure 5

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

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Fig. 14
figure 6

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

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The original article [1] has been corrected.

[Typesetter, please insert new supplied figure in package]

Reference

  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.

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Author information

Authors and Affiliations

  1. Delft University of Technology, Delft, Netherlands and University of Engineering and Technology, Lahore, Pakistan

    Nauman Ahmed

  2. Delft University of Technology, Netherlands, Delft, Netherlands

    Jonathan Lévy, Shanshan Ren, Koen Bertels & Zaid Al-Ars

  3. Maastricht UMC+, Netherlands, Maastricht, Netherlands

    Hamid Mushtaq

Authors
  1. Nauman Ahmed
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  2. Jonathan Lévy
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  3. Shanshan Ren
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  4. Hamid Mushtaq
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  5. Koen Bertels
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  6. Zaid Al-Ars
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Corresponding author

Correspondence to Nauman Ahmed.

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The original article can be found online at https://doi.org/10.1186/s12859-019-3086-9

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Ahmed, N., Lévy, J., Ren, S. et al. Correction to: GASAL2: a GPU accelerated sequence alignment library for high-throughput NGS data. BMC Bioinformatics 20, 597 (2019). https://doi.org/10.1186/s12859-019-3185-7

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  • DOI: https://doi.org/10.1186/s12859-019-3185-7

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