anexVis: Visual analytics framework for analysis of RNA expression

Academic Article

Abstract

  • 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.
  • Authors

    Published In

  • Bioinformatics  Journal
  • Digital Object Identifier (doi)

    Author List

  • Tran DT; Zhang T; Stutsman R; Might M; Desai UR; Kuberan B
  • Start Page

  • 2510
  • End Page

  • 2512
  • Volume

  • 34
  • Issue

  • 14