Hereditary Cancer Group, Program for Predictive and Personalized Medicine of Cancer - Germans Trias i Pujol Research Institute (PMPPC-IGTP), Campus Can Ruti, Badalona, Spain.
CIBERONC.
Bioinformatics. 2017 Oct 1;33(19):3088-3090. doi: 10.1093/bioinformatics/btx346.
Data visualization is a crucial tool for data exploration, analysis and interpretation. For the visualization of genomic data there lacks a tool to create customizable non-circular plots of whole genomes from any species.
We have developed karyoploteR, an R/Bioconductor package to create linear chromosomal representations of any genome with genomic annotations and experimental data plotted along them. Plot creation process is inspired in R base graphics, with a main function creating karyoplots with no data and multiple additional functions, including custom functions written by the end-user, adding data and other graphical elements. This approach allows the creation of highly customizable plots from arbitrary data with complete freedom on data positioning and representation.
karyoploteR is released under Artistic-2.0 License. Source code and documentation are freely available through Bioconductor (http://www.bioconductor.org/packages/karyoploteR) and at the examples and tutorial page at https://bernatgel.github.io/karyoploter_tutorial.
数据可视化是数据探索、分析和解释的重要工具。对于基因组数据的可视化,缺乏一种工具来创建可定制的非圆形图,展示来自任何物种的全基因组。
我们开发了 karyoploteR,这是一个 R/Bioconductor 包,可以创建带有基因组注释和实验数据的任何基因组的线性染色体表示。绘图创建过程受到 R 基础图形的启发,主要函数创建没有数据的 karyoplots,并提供多个附加函数,包括用户编写的自定义函数,用于添加数据和其他图形元素。这种方法允许从任意数据创建高度可定制的图,并完全自由地控制数据的位置和表示。
karyoploteR 遵循 Artistic-2.0 许可证发布。源代码和文档可通过 Bioconductor(http://www.bioconductor.org/packages/karyoploteR)免费获得,并可在 https://bernatgel.github.io/karyoploter_tutorial 上的示例和教程页面上获取。