SquiggleKit：用于处理纳米孔信号数据的工具包。
SquiggleKit: a toolkit for manipulating nanopore signal data.
机构信息
Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.
St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, NSW, Australia.
出版信息
Bioinformatics. 2019 Dec 15;35(24):5372-5373. doi: 10.1093/bioinformatics/btz586.
SUMMARY
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.
AVAILABILITY AND IMPLEMENTATION
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 INFORMATION
Supplementary data are available at Bioinformatics online.
摘要
原始纳米孔测序数据的管理是一个必须克服的挑战，以便为基于信号分析的新生物信息学算法的创建提供便利。SquiggleKit 是一个用于操作和查询纳米孔数据的工具包，它简化了文件处理、数据提取、可视化和信号处理。
可用性和实现
SquiggleKit 是跨平台的，可从 GitHub 上免费获得（https://github.com/Psy-Fer/SquiggleKit）。详细文档可在（https://psy-fer.github.io/SquiggleKitDocs/）找到。所有工具都被设计为在 python 2.7+ 中运行，只需最少的额外库。
补充信息
补充数据可在生物信息学在线获得。
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