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Applications and Challenges of Real-time Mobile DNA Analysis

Published:12 February 2018Publication History

ABSTRACT

The DNA sequencing is the process of identifying the exact order of nucleotides within a given DNA molecule. The new portable and relatively inexpensive DNA sequencers, such as Oxford Nanopore MinION, have the potential to move DNA sequencing outside of laboratory, leading to faster and more accessible DNA-based diagnostics. However, portable DNA sequencing and analysis are challenging for mobile systems, owing to high data throughput and computationally intensive processing performed in environments with unreliable connectivity and power.

In this paper, we provide an analysis of the challenges that mobile systems must address to maximize the potential of portable DNA sequencing, and in situ DNA analysis. We explain the DNA sequencing process and highlight the main differences between traditional and portable DNA sequencing in the context of the actual and envisioned applications. We look at the identified challenges from the perspective of both algorithms and systems design, showing the need for careful co-design.

References

  1. M.D. Cao, D. Ganesamoorthy, A.G. Elliott, H. Zhang, M.A. Cooper, and L.J. Coin. Streaming algorithms for identification of pathogens and antibiotic resistance potential from real-time MinION sequencing. GigaScience, 5(1), 2016.Google ScholarGoogle Scholar
  2. S.L. Castro-Wallace, C.Y. Chiu, K.K. John, et al. Nanopore DNA sequencing and genome assembly on the International Space Station. bioRxiv, 2016. hrefGoogle ScholarGoogle Scholar
  3. A. Edwards, A.R. Debbonaire, B. Sattler, L.AJ Mur, and A.J. Hodson. Extreme metagenomics using nanopore DNA sequencing: A field report from Svalbard, 78 N. bioRxiv, 2017.Google ScholarGoogle Scholar
  4. A. Edwards, A. Soares, S. Rassner, , P. Green, J. Felix, and A. Mitchell. Deep sequencing: Intra-terrestrial metagenomics illustrates the potential of off-grid nanopore DNA sequencing. bioRxiv, 2017.Google ScholarGoogle Scholar
  5. N.R. Faria, E.C. Sabino, M.R.T. Nunes, L.C.J. Alcantara, N.J. Loman, and O.G. Pybus. Mobile real-time surveillance of Zika virus in Brazil. Genome Medicine, 8(1), 2016.Google ScholarGoogle Scholar
  6. J.L. Gardy and N.J. Loman. Towards a genomics-informed, real-time, global pathogen surveillance system. Nature Reviews Genetics, page nrg.2017.88, 2017.Google ScholarGoogle Scholar
  7. F.C. Hewitt, S.L. Guertin, K.L. Ternus, K. Schulte, and D. R. Kadavy. Toward rapid sequenced-based detection and characterization of causative agents of Bacteremia. bioRxiv, 2017.Google ScholarGoogle Scholar
  8. S.S. Johnson, E. Zaikova, D.S. Goerlitz, Y. Bai, and S. W. Tighe. Real-time DNA sequencing in the Antarctic Dry Valleys using the Oxford Nanopore sequencer. Journal of Biomolecular Techniques, 28(1), 2017.Google ScholarGoogle Scholar
  9. S. Juul, F. Izquierdo, A. Hurst, X. Dai, A. Wright, E. Kulesha, R. Pettett, and Turner. D. J. What's in my pot? Real-time species identification on the MinION. bioRxiv, 2015.Google ScholarGoogle Scholar
  10. Metrichor Ltd. Metrichor, an Oxford Nanopore Company. https://metrichor.com/, 2017.Google ScholarGoogle Scholar
  11. H. Lu, F. Giordano, and Z. Ning. Oxford Nanopore MinION sequencing and genome assembly. Genomics, Proteomics & Bioinformatics, 14(5), 2016.Google ScholarGoogle Scholar
  12. A. Pomerantz, N. Penafiel, A. Arteaga, L. Bustamante, F. Pichardo, L.A. Coloma, C.L. Barrio-Amoros, D. Salazar-Valenzuela, and S. Prost. Real-time DNA barcoding in a remote rainforest using nanopore sequencing. bioRxiv, 2017.Google ScholarGoogle Scholar
  13. J. Quick, N.J. Loman, S. Duraffour, et al. Real-time, portable genome sequencing for Ebola surveillance. Nature, 530(7589), 2016.Google ScholarGoogle Scholar
  14. C. Quince, A.W. Walker, J.T. Simpson, N. J. Loman, and N. Segata. Shotgun metagenomics, from sampling to analysis. Nature Biotechnology, 35(9), 2017.Google ScholarGoogle Scholar
  15. M.R. Stratton, P.J. Campbell, and P.A. Futreal. The cancer genome. Nature, 458(7239), 2009.Google ScholarGoogle Scholar
  16. Oxford Nanopore Technologies. Oxford Nanopore. https://nanoporetech.com, 2017.Google ScholarGoogle Scholar
  17. Oxford Nanopore Technologies. Voltrax. https://nanoporetech.com/products/voltrax, 2017.Google ScholarGoogle Scholar
  18. M.C. Walter, K. Zwirglmaier, P. Vette, S. A. Holowachuk, K. Stoecker, G. H. Genzel, and M. H. Antwerpen. MinION as part of a biomedical rapidly deployable laboratory. Journal of Biotechnology, 250, 2017.Google ScholarGoogle Scholar
  19. E. Waltz. Portable DNA sequencer MinION helps build the Internet of Living Things. IEEE Spectrum, 2017.Google ScholarGoogle Scholar
  20. R.R. Wick, L.M. Judd, and K.E. Holt. Comparison of Oxford Nanopore basecalling tools. https://github.com/rrwick/Basecalling-comparison, 2017.Google ScholarGoogle Scholar

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    • Published in

      cover image ACM Conferences
      HotMobile '18: Proceedings of the 19th International Workshop on Mobile Computing Systems & Applications
      February 2018
      130 pages
      ISBN:9781450356305
      DOI:10.1145/3177102

      Copyright © 2018 ACM

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      Publication History

      • Published: 12 February 2018

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      HotMobile '18 Paper Acceptance Rate19of65submissions,29%Overall Acceptance Rate96of345submissions,28%

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