Publications
SquiggleKit: a toolkit for manipulating nanopore signal data
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.
| Type | Journal |
|---|---|
| ISBN | 1367-4803 |
| Authors | Ferguson, James M; Smith, Martin A |
| Responsible Garvan Author | James Ferguson |
| Publisher Name | Bioinformatics |
| Published Date | 2019-12-01 |
| Published Volume | 35 |
| Published Issue | 24 |
| Published Pages | 5372-5373 |
| Status | Published in-print |
| DOI | 10.1093/bioinformatics/btz586 |
| 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 |