Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Leggett, Richard M., Heavens, Darren, Caccamo, Mario, Clark, Matthew D., Davey, Robert P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
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
_version_ 1782405812693499904
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
work_keys_str_mv AT leggettrichardm nanookmultireferencealignmentanalysisofnanoporesequencingdataqualityanderrorprofiles
AT heavensdarren nanookmultireferencealignmentanalysisofnanoporesequencingdataqualityanderrorprofiles
AT caccamomario nanookmultireferencealignmentanalysisofnanoporesequencingdataqualityanderrorprofiles
AT clarkmatthewd nanookmultireferencealignmentanalysisofnanoporesequencingdataqualityanderrorprofiles
AT daveyrobertp nanookmultireferencealignmentanalysisofnanoporesequencingdataqualityanderrorprofiles