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poRe GUIs for parallel and real-time processing of MinION sequence data

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    Rights statement: © The Author(s) 2017 . Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Original languageEnglish
Pages (from-to)2207-2208
JournalBioinformatics
Volume33
Issue number14
Early online date9 Mar 2017
DOIs
StatePublished - 15 Jul 2017

Abstract

Motivation: Oxford Nanopore's MinION device has matured rapidly and is now capable of producing over one million reads and several gigabases of sequence data per run. The nature of the MinION output requires new tools that are easy to use by scientists with a range of computational skills and which enable quick and simple QC and data extraction from MinION runs.

Results: We have developed two GUIs for the R package poRe that allow parallel and real-time processing of MinION datasets. Both GUIs are capable of extracting sequence- and meta- data from large MinION datasets via a friendly point-and-click interface using commodity hardware.

Availability: The GUIs are packaged within poRe which is available on SourceForge: https://sourceforge.net/projects/rpore/files/ .

Documentation is available on GitHub: https://github.com/mw55309/poRe_docs.

Contact: mick.watson@roslin.ed.ac.uk.

Supplementary information: Supplementary data are available at Bioinformatics online.

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