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Genopo: a nanopore sequencing analysis toolkit for portable Android devices
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 Gen...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7524736/ https://www.ncbi.nlm.nih.gov/pubmed/32994472 http://dx.doi.org/10.1038/s42003-020-01270-z |
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author | Samarakoon, Hiruna Punchihewa, Sanoj Senanayake, Anjana Hammond, Jillian M. Stevanovski, Igor Ferguson, James M. Ragel, Roshan Gamaarachchi, Hasindu Deveson, Ira W. |
author_facet | Samarakoon, Hiruna Punchihewa, Sanoj Senanayake, Anjana Hammond, Jillian M. Stevanovski, Igor Ferguson, James M. Ragel, Roshan Gamaarachchi, Hasindu Deveson, Ira W. |
author_sort | Samarakoon, Hiruna |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7524736 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75247362020-10-19 Genopo: a nanopore sequencing analysis toolkit for portable Android devices Samarakoon, Hiruna Punchihewa, Sanoj Senanayake, Anjana Hammond, Jillian M. Stevanovski, Igor Ferguson, James M. Ragel, Roshan Gamaarachchi, Hasindu Deveson, Ira W. Commun Biol Article 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. Nature Publishing Group UK 2020-09-29 /pmc/articles/PMC7524736/ /pubmed/32994472 http://dx.doi.org/10.1038/s42003-020-01270-z Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Samarakoon, Hiruna Punchihewa, Sanoj Senanayake, Anjana Hammond, Jillian M. Stevanovski, Igor Ferguson, James M. Ragel, Roshan Gamaarachchi, Hasindu Deveson, Ira W. Genopo: a nanopore sequencing analysis toolkit for portable Android devices |
title | Genopo: a nanopore sequencing analysis toolkit for portable Android devices |
title_full | Genopo: a nanopore sequencing analysis toolkit for portable Android devices |
title_fullStr | Genopo: a nanopore sequencing analysis toolkit for portable Android devices |
title_full_unstemmed | Genopo: a nanopore sequencing analysis toolkit for portable Android devices |
title_short | Genopo: a nanopore sequencing analysis toolkit for portable Android devices |
title_sort | genopo: a nanopore sequencing analysis toolkit for portable android devices |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7524736/ https://www.ncbi.nlm.nih.gov/pubmed/32994472 http://dx.doi.org/10.1038/s42003-020-01270-z |
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