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anexVis: visual analytics framework for analysis of RNA expression.

Authors :
Tran, Diem-Trang
Zhang, Tian
Stutsman, Ryan
Might, Matthew
Desai, Umesh R
Kuberan, Balagurunathan
Source :
Bioinformatics. 7/15/2018, Vol. 34 Issue 14, p2510-2512. 3p.
Publication Year :
2018

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13674803
Volume :
34
Issue :
14
Database :
Academic Search Index
Journal :
Bioinformatics
Publication Type :
Academic Journal
Accession number :
130659764
Full Text :
https://doi.org/10.1093/bioinformatics/bty122