Assocplots：一个用于展示多组 GWAS 结果的静态和交互式可视化的 Python 包。
Assocplots: a Python package for static and interactive visualization of multiple-group GWAS results.
机构信息
Department of Medicine, Section of Genetic Medicine, The University of Chicago, Chicago, IL, USA.
Institute for Genomics and Systems Biology, The University of Chicago, Chicago, IL, USA.
出版信息
Bioinformatics. 2017 Feb 1;33(3):432-434. doi: 10.1093/bioinformatics/btw641.
BACKGROUND
Over the last decade, genome-wide association studies (GWAS) have generated vast amounts of analysis results, requiring development of novel tools for data visualization. Quantile–quantile (QQ) plots and Manhattan plots are classical tools which have been utilized to visually summarize GWAS results and identify genetic variants significantly associated with traits of interest. However, static visualizations are limiting in the information that can be shown. Here, we present Assocplots, a Python package for viewing and exploring GWAS results not only using classic static Manhattan and QQ plots, but also through a dynamic extension which allows to interactively visualize the relationships between GWAS results from multiple cohorts or studies.
AVAILABILITY AND IMPLEMENTATION
The Assocplots package is open source and distributed under the MIT license via GitHub (https://github.com/khramts/assocplots) along with examples, documentation and installation instructions.
CONTACT
ekhramts@medicine.bsd.uchicago.edu or bstranger@medicine.bsd.uchicago.edu
背景
在过去的十年中，全基因组关联研究（GWAS）产生了大量的分析结果，这需要开发新的工具来进行数据可视化。分位数-分位数（QQ）图和曼哈顿图是经典的工具，已被用于直观地总结 GWAS 结果并识别与感兴趣性状显著相关的遗传变异。然而，静态可视化在可以显示的信息方面存在局限性。在这里，我们提出了 Assocplots，这是一个用于查看和探索 GWAS 结果的 Python 包，不仅可以使用经典的静态曼哈顿和 QQ 图，还可以通过一个动态扩展来交互地可视化来自多个队列或研究的 GWAS 结果之间的关系。
可用性和实现
Assocplots 包是开源的，并通过 GitHub（https://github.com/khramts/assocplots）以 MIT 许可证的形式分发，其中包括示例、文档和安装说明。
联系方式
ekhramts@medicine.bsd.uchicago.edu 或 bstranger@medicine.bsd.uchicago.edu
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