ArticleBMC genomics2017
DEIVA: a web application for interactive visual analysis of differential gene expression profiles.
Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Rvisdiff: An R package for interactive visualization of differential expression.Frontiers in bioinformatics · 2024Article
- GXP: Analyze and Plot Plant Omics Data in Web Browsers.Plants (Basel, Switzerland) · 2022Article
- Inferring and analyzing gene regulatory networks from multi-factorial expression data: a complete and interactive suite.BMC genomics · 2021Article
- OmicsVolcano: software for intuitive visualization and interactive exploration of high-throughput biological data.STAR protocols · 2021Article
- GeneCloudOmics: A Data Analytic Cloud Platform for High-Throughput Gene Expression Analysis.Frontiers in bioinformatics · 2021Article
- ggVolcanoR: A Shiny app for customizable visualization of differential expression datasets.Computational and structural biotechnology journal · 2021Article
- ideal: an R/Bioconductor package for interactive differential expression analysis.BMC bioinformatics · 2020Article
- bigPint: A Bioconductor visualization package that makes big data pint-sized.PLoS computational biology · 2020Article
- BEAVR: a browser-based tool for the exploration and visualization of RNA-seq data.BMC bioinformatics · 2020Article
- GENAVi: a shiny web application for gene expression normalization, analysis and visualization.BMC genomics · 2019Article
- iGEAK: an interactive gene expression analysis kit for seamless workflow using the R/shiny platform.BMC genomics · 2019Article
- IRIS-EDA: An integrated RNA-Seq interpretation system for gene expression data analysis.PLoS computational biology · 2019Article
- s ·nr: a visual analytics framework for contextual analyses of private and public RNA-seq data.BMC genomics · 2019Article
- DEBrowser: interactive differential expression analysis and visualization tool for count data.BMC genomics · 2019Article
- iDEP: an integrated web application for differential expression and pathway analysis of RNA-Seq data.BMC bioinformatics · 2018Article
- anexVis: visual analytics framework for analysis of RNA expression.Bioinformatics (Oxford, England) · 2018Article
- A New Machine Learning-Based Framework for Mapping Uncertainty Analysis in RNA-Seq Read Alignment and Gene Expression Estimation.Frontiers in genetics · 2018Article
- DEIVA: a web application for interactive visual analysis of differential gene expression profiles.BMC genomics · 2017Article
- Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.