DEIVA: a web application for interactive visual analysis of differential gene expression profiles

BMC Genomics

Software

Anton Kratz¹  Jayson Harshbarger¹  Piero Carninci¹ 

[1] RIKEN Center for Life Science Technologies, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, 230-0045, Yokohama, Kanagawa, Japan;

关键词: Differential gene expression;    RNA-seq;    Visualization;    Web application;    Interactive visual analysis;   

DOI  :  10.1186/s12864-016-3396-5

 received in 2016-07-06, accepted in 2016-12-07,  发布年份 2017

来源: Springer

【 摘 要 】

BackgroundDifferential gene expression (DGE) analysis is a technique to identify statistically significant differences in RNA abundance for genes or arbitrary features between different biological states. The result of a DGE test is typically further analyzed using statistical software, spreadsheets or custom ad hoc algorithms. We identified a need for a web-based system to share DGE statistical test results, and locate and identify genes in DGE statistical test results with a very low barrier of entry.ResultsWe have developed DEIVA, a free and open source, browser-based single page application (SPA) with a strong emphasis on being user friendly that enables locating and identifying single or multiple genes in an immediate, interactive, and intuitive manner. By design, DEIVA scales with very large numbers of users and datasets.ConclusionsCompared to existing software, DEIVA offers a unique combination of design decisions that enable inspection and analysis of DGE statistical test results with an emphasis on ease of use.

【 授权许可】

CC BY   
© The Author(s). 2017