SquiggleKit: a toolkit for manipulating nanopore signal data.

Ferguson, James M; Smith, Martin A · Bioinformatics · 2019

basic_science · Level V

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Abstract

The management of raw nanopore sequencing data poses a challenge that must be overcome to facilitate the creation of new bioinformatics algorithms predicated on signal analysis. SquiggleKit is a toolkit for manipulating and interrogating nanopore data that simplifies file handling, data extraction, visualization and signal processing. SquiggleKit is cross platform and freely available from GitHub at (https://github.com/Psy-Fer/SquiggleKit). Detailed documentation can be found at (https://psy-fer.github.io/SquiggleKitDocs/). All tools have been designed to operate in python 2.7+, with minimal additional libraries. Supplementary data are available at Bioinformatics online.

Medical subject headings