Methplotlib：来自纳米孔测序的修饰核苷酸分析。
Methplotlib: analysis of modified nucleotides from nanopore sequencing.
机构信息
VIB, Center for Molecular Neurology, Antwerp 2610, Belgium.
Department of Computer Science, Norwegian University of Science and Technology, Trondheim 7013, Norway.
出版信息
Bioinformatics. 2020 May 1;36(10):3236-3238. doi: 10.1093/bioinformatics/btaa093.
SUMMARY
Modified nucleotides play a crucial role in gene expression regulation. Here, we describe methplotlib, a tool developed for the visualization of modified nucleotides detected from Oxford Nanopore Technologies sequencing platforms, together with additional scripts for statistical analysis of allele-specific modification within-subjects and differential modification frequency across subjects.
AVAILABILITY AND IMPLEMENTATION
The methplotlib command-line tool is written in Python3, is compatible with Linux, Mac OS and the MS Windows 10 Subsystem for Linux and released under the MIT license. The source code can be found at https://github.com/wdecoster/methplotlib and can be installed from PyPI and bioconda. Our repository includes test data, and the tool is continuously tested at travis-ci.com.
SUPPLEMENTARY INFORMATION
Supplementary data are available at Bioinformatics online.
摘要
修饰核苷酸在基因表达调控中起着至关重要的作用。在这里，我们描述了 methplotlib，这是一个为从牛津纳米孔技术测序平台检测到的修饰核苷酸可视化而开发的工具，以及用于在个体内进行等位基因特异性修饰的统计分析和在个体间进行差异修饰频率分析的其他脚本。
可用性和实现
methplotlib 命令行工具是用 Python3 编写的，兼容 Linux、Mac OS 和 MS Windows 10 Linux 子系统，MIT 许可证。源代码可在 https://github.com/wdecoster/methplotlib 上找到，并可从 PyPI 和 bioconda 安装。我们的存储库包括测试数据，该工具在 travis-ci.com 上进行持续测试。
补充信息
补充数据可在 Bioinformatics 在线获得。
Zotero 插件