Abstract
SUMMARY: Although RNA expression data are accumulating at a remarkable speed, gaining insights from them still requires laborious analyses, which hinder many biological and biomedical researchers. This report introduces a visual analytics framework that applies several well-known visualization techniques to leverage understanding of an RNA expression dataset. Our analyses on glycosaminoglycan-related genes have demonstrated the broad application of this tool, anexVis (analysis of RNA expression), to advance the understanding of tissue-specific glycosaminoglycan regulation and functions, and potentially other biological pathways. AVAILABILITY AND IMPLEMENTATION: The application is accessible at https://anexvis.chpc.utah.edu/, source codes deposited on GitHub. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.