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

• Published in: BMC genomics Vol. 18; no. 1; p. 47
• Main Authors: Harshbarger, Jayson, Kratz, Anton, Carninci, Piero
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 07.01.2017; BioMed Central
• Subjects: Algorithms; Applications programs; Biological effects; Computational biology; Computer Graphics; Computer programs; Datasets; Decision analysis; Freeware; Gene expression; Gene Expression Profiling; Genes; Genomics; Inspection; Internet; Observations; Ribonucleic acid; RNA; Software; Spreadsheets; Statistical analysis; Statistical tests; Statistics; Statistics as Topic - methods; Subject specialists; Technology application; User-Computer Interface; Visualization; Web applications; Visualization; Interactive visual analysis; RNA-seq; Differential gene expression; Web application
• ISSN: 1471-2164; 1471-2164
• DOI: 10.1186/s12864-016-3396-5

Differential 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. We 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. Compared 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.