Genopo: a nanopore sequencing analysis toolkit for portable Android devices.


Journal

Communications biology
ISSN: 2399-3642
Titre abrégé: Commun Biol
Pays: England
ID NLM: 101719179

Informations de publication

Date de publication:
29 09 2020
Historique:
received: 08 06 2020
accepted: 04 09 2020
entrez: 30 9 2020
pubmed: 1 10 2020
medline: 21 10 2020
Statut: epublish

Résumé

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.

Identifiants

pubmed: 32994472
doi: 10.1038/s42003-020-01270-z
pii: 10.1038/s42003-020-01270-z
pmc: PMC7524736
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

538

Subventions

Organisme : Cancer Institute NSW (Cancer Institute New South Wales)
ID : 2018/ECF013
Pays : International
Organisme : Department of Health | National Health and Medical Research Council (NHMRC)
ID : APP1173594
Pays : International

Références

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Auteurs

Hiruna Samarakoon (H)

Department of Computer Engineering, University of Peradeniya, Peradeniya, Sri Lanka.

Sanoj Punchihewa (S)

Department of Computer Engineering, University of Peradeniya, Peradeniya, Sri Lanka.

Anjana Senanayake (A)

Department of Computer Engineering, University of Peradeniya, Peradeniya, Sri Lanka.

Jillian M Hammond (JM)

Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia.

Igor Stevanovski (I)

Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia.

James M Ferguson (JM)

Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia.

Roshan Ragel (R)

Department of Computer Engineering, University of Peradeniya, Peradeniya, Sri Lanka.

Hasindu Gamaarachchi (H)

Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia. hasindu@garvan.org.au.
School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia. hasindu@garvan.org.au.

Ira W Deveson (IW)

Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia. i.deveson@garvan.org.au.
St Vincent's Clinical School, University of New South Wales, Sydney, NSW, Australia. i.deveson@garvan.org.au.

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Classifications MeSH