Blimkie Travis M, An Andy, Hancock Robert E W
REW Hancock Laboratory, Center for Microbial Diseases and Immunity Research, Department of Microbiology and Immunology, University of British Columbia, Vancouver, British Columbia, Canada.
PLoS Comput Biol. 2024 Sep 16;20(9):e1012422. doi: 10.1371/journal.pcbi.1012422. eCollection 2024 Sep.
R package pathlinkR is designed to aid transcriptomic analyses by streamlining and simplifying the process of analyzing and interpreting differentially expressed genes derived from human RNA-Seq data. It provides an integrated approach to performing pathway enrichment and network-based analyses, while also producing publication-quality figures to summarize these results, allowing users to more efficiently interpret their findings and extract biological meaning from large amounts of data. pathlinkR is available to install from the software repository Bioconductor at https://bioconductor.org/packages/pathlinkR/, with support available through the Bioconductor forums. The code, example, and supporting data is available on the GitHub repository at https://github.com/hancockinformatics/pathlinkR, under the GPL-3.0 license, where users may report problems or make suggestions using GitHub's issue system.
R软件包pathlinkR旨在通过简化和精简分析与解释源自人类RNA测序数据的差异表达基因的过程,来辅助转录组分析。它提供了一种综合方法来进行通路富集和基于网络的分析,同时还生成可用于发表的高质量图表来总结这些结果,使用户能够更有效地解释其发现并从大量数据中提取生物学意义。可以从软件库Bioconductor(网址为https://bioconductor.org/packages/pathlinkR/)安装pathlinkR,通过Bioconductor论坛可获得相关支持。代码、示例和支持数据可在GitHub库(网址为https://github.com/hancockinformatics/pathlinkR)上获取,遵循GPL-3.0许可协议,用户可通过GitHub的问题系统报告问题或提出建议。