Ontology highlight
ABSTRACT: Background
The growing power and ever decreasing cost of RNA sequencing (RNA-Seq) technologies have resulted in an explosion of RNA-Seq data production. Comparing gene expression values within RNA-Seq datasets is relatively easy for many interdisciplinary biomedical researchers; however, user-friendly software applications increase the ability of biologists to efficiently explore available datasets.Results
Here, we describe ROGUE (RNA-Seq Ontology Graphic User Environment, https://marisshiny.Research
chop.edu/ROGUE/ ), a user-friendly R Shiny application that allows a biologist to perform differentially expressed gene analysis, gene ontology and pathway enrichment analysis, potential biomarker identification, and advanced statistical analyses. We use ROGUE to identi
SUBMITTER: Farrel A
PROVIDER: S-EPMC10386769 | biostudies-literature | 2023 Jul
REPOSITORIES: biostudies-literature