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NanoOK: multi-reference alignment analysis of nanopore sequencing data, quality and error profiles
Motivation: The Oxford Nanopore MinION sequencer, currently in pre-release testing through the MinION Access Programme (MAP), promises long reads in real-time from an inexpensive, compact, USB device. Tools have been released to extract FASTA/Q from the MinION base calling output and to provide basi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4681994/ https://www.ncbi.nlm.nih.gov/pubmed/26382197 http://dx.doi.org/10.1093/bioinformatics/btv540 |
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author | Leggett, Richard M. Heavens, Darren Caccamo, Mario Clark, Matthew D. Davey, Robert P. |
author_facet | Leggett, Richard M. Heavens, Darren Caccamo, Mario Clark, Matthew D. Davey, Robert P. |
author_sort | Leggett, Richard M. |
collection | PubMed |
description | Motivation: The Oxford Nanopore MinION sequencer, currently in pre-release testing through the MinION Access Programme (MAP), promises long reads in real-time from an inexpensive, compact, USB device. Tools have been released to extract FASTA/Q from the MinION base calling output and to provide basic yield statistics. However, no single tool yet exists to provide comprehensive alignment-based quality control and error profile analysis—something that is extremely important given the speed with which the platform is evolving. Results: NanoOK generates detailed tabular and graphical output plus an in-depth multi-page PDF report including error profile, quality and yield data. NanoOK is multi-reference, enabling detailed analysis of metagenomic or multiplexed samples. Four popular Nanopore aligners are supported and it is easily extensible to include others. Availability and implementation: NanoOK is an open-source software, implemented in Java with supporting R scripts. It has been tested on Linux and Mac OS X and can be downloaded from https://github.com/TGAC/NanoOK. A VirtualBox VM containing all dependencies and the DH10B read set used in this article is available from http://opendata.tgac.ac.uk/nanook/. A Docker image is also available from Docker Hub—see program documentation https://documentation.tgac.ac.uk/display/NANOOK. Contact: richard.leggett@tgac.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-4681994 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-46819942015-12-18 NanoOK: multi-reference alignment analysis of nanopore sequencing data, quality and error profiles Leggett, Richard M. Heavens, Darren Caccamo, Mario Clark, Matthew D. Davey, Robert P. Bioinformatics Applications Notes Motivation: The Oxford Nanopore MinION sequencer, currently in pre-release testing through the MinION Access Programme (MAP), promises long reads in real-time from an inexpensive, compact, USB device. Tools have been released to extract FASTA/Q from the MinION base calling output and to provide basic yield statistics. However, no single tool yet exists to provide comprehensive alignment-based quality control and error profile analysis—something that is extremely important given the speed with which the platform is evolving. Results: NanoOK generates detailed tabular and graphical output plus an in-depth multi-page PDF report including error profile, quality and yield data. NanoOK is multi-reference, enabling detailed analysis of metagenomic or multiplexed samples. Four popular Nanopore aligners are supported and it is easily extensible to include others. Availability and implementation: NanoOK is an open-source software, implemented in Java with supporting R scripts. It has been tested on Linux and Mac OS X and can be downloaded from https://github.com/TGAC/NanoOK. A VirtualBox VM containing all dependencies and the DH10B read set used in this article is available from http://opendata.tgac.ac.uk/nanook/. A Docker image is also available from Docker Hub—see program documentation https://documentation.tgac.ac.uk/display/NANOOK. Contact: richard.leggett@tgac.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2016-01-01 2015-09-17 /pmc/articles/PMC4681994/ /pubmed/26382197 http://dx.doi.org/10.1093/bioinformatics/btv540 Text en © The Author 2015. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ 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. |
spellingShingle | Applications Notes Leggett, Richard M. Heavens, Darren Caccamo, Mario Clark, Matthew D. Davey, Robert P. NanoOK: multi-reference alignment analysis of nanopore sequencing data, quality and error profiles |
title | NanoOK: multi-reference alignment analysis of nanopore sequencing data, quality and error profiles |
title_full | NanoOK: multi-reference alignment analysis of nanopore sequencing data, quality and error profiles |
title_fullStr | NanoOK: multi-reference alignment analysis of nanopore sequencing data, quality and error profiles |
title_full_unstemmed | NanoOK: multi-reference alignment analysis of nanopore sequencing data, quality and error profiles |
title_short | NanoOK: multi-reference alignment analysis of nanopore sequencing data, quality and error profiles |
title_sort | nanook: multi-reference alignment analysis of nanopore sequencing data, quality and error profiles |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4681994/ https://www.ncbi.nlm.nih.gov/pubmed/26382197 http://dx.doi.org/10.1093/bioinformatics/btv540 |
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