计算生物学
RNA序列
核糖核酸
网络分析
生物
计算机科学
进化生物学
生物信息学
转录组
遗传学
基因表达
基因
工程类
电气工程
作者
Travis M. Blimkie,Yi Andy An,Robert E. W. Hancock
标识
DOI:10.1371/journal.pcbi.1012422
摘要
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.
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