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Oxford University Press, Bioinformatics, 15(34), p. 2666-2669, 2018

DOI: 10.1093/bioinformatics/bty149

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NanoPack: visualizing and processing long read sequencing data

Journal article published in 2017 by Wouter De Coster ORCID, Svenn D'Hert, Svenn D’Hert, Darrin T. Schultz ORCID, Marc Cruts ORCID, Christine Van Broeckhoven ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Abstract 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.