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NanoPack: visualizing and processing long read sequencing data

Authors: De Coster, Wouter; D’Hert, Svenn; Schultz, Darrin T.; Cruts, Marc; Van Broeckhoven, Christine;

NanoPack: visualizing and processing long read sequencing data

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 Licence. 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. Contact: wouter.decoster@molgen.vib-ua.be Supplementary information: Supplementary tables and figures are available at Bioinformatics online.

Country
Belgium
Keywords

Computer. Automation, High-Throughput Nucleotide Sequencing, Sequence Analysis, DNA, Applications Notes, Chemistry, Escherichia coli, Human medicine, Biology, Engineering sciences. Technology, Mathematics, Software

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 0.01%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3K
Top 0.01%
Top 0.1%
Top 0.1%
Green
gold