NanoPack: visualizing and processing long-read sequencing data

SUMMARY: Here we describe NanoPack, a set of tools developed for visualization and processing of long-read sequencing data from Oxford Nanopore Technologies and Pacific Biosciences. AVAILABILITY AND IMPLEMENTATION: The NanoPack tools are written in Python3 and released under the GNU GPL3.0 License....

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Autores principales: De Coster, Wouter, D’Hert, Svenn, Schultz, Darrin T, Cruts, Marc, Van Broeckhoven, Christine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6061794/
https://www.ncbi.nlm.nih.gov/pubmed/29547981
http://dx.doi.org/10.1093/bioinformatics/bty149
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author De Coster, Wouter
D’Hert, Svenn
Schultz, Darrin T
Cruts, Marc
Van Broeckhoven, Christine
author_facet De Coster, Wouter
D’Hert, Svenn
Schultz, Darrin T
Cruts, Marc
Van Broeckhoven, Christine
author_sort De Coster, Wouter
collection PubMed
description SUMMARY: Here we describe NanoPack, a set of tools developed for visualization and processing of long-read sequencing data from Oxford Nanopore Technologies and Pacific Biosciences. AVAILABILITY AND IMPLEMENTATION: The NanoPack tools are written in Python3 and released under the GNU GPL3.0 License. The source code can be found at https://github.com/wdecoster/nanopack, together with links to separate scripts and their documentation. The scripts are compatible with Linux, Mac OS and the MS Windows 10 subsystem for Linux and are available as a graphical user interface, a web service at http://nanoplot.bioinf.be and command line tools. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-60617942018-08-07 NanoPack: visualizing and processing long-read sequencing data De Coster, Wouter D’Hert, Svenn Schultz, Darrin T Cruts, Marc Van Broeckhoven, Christine Bioinformatics Applications Notes SUMMARY: Here we describe NanoPack, a set of tools developed for visualization and processing of long-read sequencing data from Oxford Nanopore Technologies and Pacific Biosciences. AVAILABILITY AND IMPLEMENTATION: The NanoPack tools are written in Python3 and released under the GNU GPL3.0 License. The source code can be found at https://github.com/wdecoster/nanopack, together with links to separate scripts and their documentation. The scripts are compatible with Linux, Mac OS and the MS Windows 10 subsystem for Linux and are available as a graphical user interface, a web service at http://nanoplot.bioinf.be and command line tools. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2018-08-01 2018-03-14 /pmc/articles/PMC6061794/ /pubmed/29547981 http://dx.doi.org/10.1093/bioinformatics/bty149 Text en © The Author(s) 2018. 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
De Coster, Wouter
D’Hert, Svenn
Schultz, Darrin T
Cruts, Marc
Van Broeckhoven, Christine
NanoPack: visualizing and processing long-read sequencing data
title NanoPack: visualizing and processing long-read sequencing data
title_full NanoPack: visualizing and processing long-read sequencing data
title_fullStr NanoPack: visualizing and processing long-read sequencing data
title_full_unstemmed NanoPack: visualizing and processing long-read sequencing data
title_short NanoPack: visualizing and processing long-read sequencing data
title_sort nanopack: visualizing and processing long-read sequencing data
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6061794/
https://www.ncbi.nlm.nih.gov/pubmed/29547981
http://dx.doi.org/10.1093/bioinformatics/bty149
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