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Genopo: a nanopore sequencing analysis toolkit for portable Android devices.
- Source :
-
Communications biology [Commun Biol] 2020 Sep 29; Vol. 3 (1), pp. 538. Date of Electronic Publication: 2020 Sep 29. - Publication Year :
- 2020
-
Abstract
- The advent of portable nanopore sequencing devices has enabled DNA and RNA sequencing to be performed in the field or the clinic. However, advances in in situ genomics require parallel development of portable, offline solutions for the computational analysis of sequencing data. Here we introduce Genopo, a mobile toolkit for nanopore sequencing analysis. Genopo compacts popular bioinformatics tools to an Android application, enabling fully portable computation. To demonstrate its utility for in situ genome analysis, we use Genopo to determine the complete genome sequence of the human coronavirus SARS-CoV-2 in nine patient isolates sequenced on a nanopore device, with Genopo executing this workflow in less than 30 min per sample on a range of popular smartphones. We further show how Genopo can be used to profile DNA methylation in a human genome sample, illustrating a flexible, efficient architecture that is suitable to run many popular bioinformatics tools and accommodate small or large genomes. As the first ever smartphone application for nanopore sequencing analysis, Genopo enables the genomics community to harness this cheap, ubiquitous computational resource.
- Subjects :
- Betacoronavirus pathogenicity
COVID-19
Cell Phone instrumentation
Computational Biology instrumentation
Coronavirus Infections diagnosis
Coronavirus Infections virology
DNA Methylation
High-Throughput Nucleotide Sequencing instrumentation
Humans
Nanopores
Pandemics
Pneumonia, Viral diagnosis
Pneumonia, Viral virology
SARS-CoV-2
Whole Genome Sequencing instrumentation
Betacoronavirus genetics
Computational Biology methods
Genome, Human
Genome, Viral
High-Throughput Nucleotide Sequencing methods
Whole Genome Sequencing methods
Subjects
Details
- Language :
- English
- ISSN :
- 2399-3642
- Volume :
- 3
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Communications biology
- Publication Type :
- Academic Journal
- Accession number :
- 32994472
- Full Text :
- https://doi.org/10.1038/s42003-020-01270-z