SquiggleKit: a toolkit for manipulating nanopore signal data
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.
|Authors||Ferguson, James M; Smith, Martin A|
|Responsible Garvan Author||James Ferguson|
|URL link to publisher's version||https://www.ncbi.nlm.nih.gov/pubmed/31332428|
|OpenAccess link to author's accepted manuscript version||https://publications.gimr.garvan.org.au/open-access/15185|