NanoPack: visualizing and processing long-read sequencing data

By Wouter De Coster, Svenn D'Hert, D. Schultz, M. Cruts, C. van Broeckhoven. bioRxiv, 2018

2,657 citations recorded by the source corpus.

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.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/d03820bb0ee8a4b936cc5fd13053588d659ff946

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

1. Wouter De Coster
2. Rosa Rademakers

Citations in the corpus

• NanoPack2: population-scale evaluation of long-read sequencing data (2022, methodology): “Furthermore, we present an update on NanoPlot and NanoComp from the NanoPack tools (De Coster et al. 2018).”