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Portable nanopore analytics: are we there yet?

Marco Oliva1,2, Franco Milicchio1, Kaden King2

  • 1Department of Engineering, Roma Tre University, Rome, Italy.

Bioinformatics (Oxford, England)
|April 12, 2020
PubMed
Summary
This summary is machine-generated.

Porting Oxford Nanopore (ONT) sequencing analysis software to mobile devices is challenging. While some tools were adapted, many failed, indicating limited current portability for mobile bioinformatics.

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Area of Science:

  • Bioinformatics
  • Genomics
  • Mobile Computing

Background:

  • Oxford Nanopore (ONT) sequencing offers real-time, high-throughput data generation.
  • Current ONT data analysis relies heavily on cloud or personal computer infrastructure.
  • True portability requires software compatible with mobile devices and limited internet connectivity.

Purpose of the Study:

  • To assess the portability of existing Oxford Nanopore (ONT) data analysis software to mobile platforms.
  • To identify challenges and successes in recompiling and running bioinformatics tools on smartphones and tablets.

Main Methods:

  • Selected bioinformatics tools for ONT data analysis were ported to an Android smartphone.
  • Software was recompilied and benchmarked for functionality and performance.
  • Analysis included evaluating recompilation success rates and resource utilization.

Main Results:

  • Out of 23 programs tested, only 11 were successfully ported and functional.
  • Common failures included missing standard headers and unsupported instruction sets.
  • DSK, BCALM2, and Kraken processed large files (up to 16 GB) efficiently, but experienced high CPU temperatures.

Conclusions:

  • The current portability of ONT analysis software to mobile devices is limited.
  • Further development is needed, focusing on ARM chipsets and mobile operating systems (Android/iOS).
  • Mobile-specific libraries and developer attention are crucial for advancing portable bioinformatics.