Skidmore Zachary L, Wagner Alex H, Lesurf Robert, Campbell Katie M, Kunisaki Jason, Griffith Obi L, Griffith Malachi
McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA.
McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA Department of Medicine Siteman Cancer Center Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA.
Bioinformatics. 2016 Oct 1;32(19):3012-4. doi: 10.1093/bioinformatics/btw325. Epub 2016 Jun 10.
Visualizing and summarizing data from genomic studies continues to be a challenge. Here, we introduce the GenVisR package to addresses this challenge by providing highly customizable, publication-quality graphics focused on cohort level genome analyses. GenVisR provides a rapid and easy-to-use suite of genomic visualization tools, while maintaining a high degree of flexibility by leveraging the abilities of ggplot2 and Bioconductor.
GenVisR is an R package available via Bioconductor (https://bioconductor.org/packages/GenVisR) under GPLv3. Support is available via GitHub (https://github.com/griffithlab/GenVisR/issues) and the Bioconductor support website.
obigriffith@wustl.edu or mgriffit@wustl.edu
Supplementary data are available at Bioinformatics online.
对基因组研究的数据进行可视化和汇总仍然是一项挑战。在此，我们引入GenVisR软件包，通过提供高度可定制的、符合发表标准的图形来应对这一挑战，这些图形专注于队列水平的基因组分析。GenVisR提供了一套快速且易于使用的基因组可视化工具，同时通过利用ggplot2和Bioconductor的功能保持了高度的灵活性。
GenVisR是一个通过Bioconductor（https://bioconductor.org/packages/GenVisR）以GPLv3协议提供的R软件包。可通过GitHub（https://github.com/griffithlab/GenVisR/issues）和Bioconductor支持网站获得支持。
obigriffith@wustl.edu或mgriffit@wustl.edu
补充数据可在《生物信息学》在线版获取。
