Bioinformatics Department, Boston University, Boston, MA 02118, USA.
Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA 02118, USA.
Bioinformatics. 2020 Feb 15;36(4):1307-1308. doi: 10.1093/bioinformatics/btz700.
Geneset enrichment is a popular method for annotating high-throughput sequencing data. Existing tools fall short in providing the flexibility to tackle the varied challenges researchers face in such analyses, particularly when analyzing many signatures across multiple experiments. We present a comprehensive R package for geneset enrichment workflows that offers multiple enrichment, visualization, and sharing methods in addition to novel features such as hierarchical geneset analysis and built-in markdown reporting. hypeR is a one-stop solution to performing geneset enrichment for a wide audience and range of use cases.
The most recent version of the package is available at https://github.com/montilab/hypeR.
基因集富集是注释高通量测序数据的一种流行方法。现有的工具在提供灵活性以解决研究人员在这些分析中面临的各种挑战方面存在不足,特别是在分析多个实验中的多个特征时。我们提出了一个用于基因集富集工作流程的综合 R 包,该包除了提供分层基因集分析和内置标记报告等新功能外,还提供了多种富集、可视化和共享方法。hypeR 是为广泛的受众和用例执行基因集富集的一站式解决方案。
该软件包的最新版本可在 https://github.com/montilab/hypeR 获得。