shinyGEO
shinyGEO performs differential expression and survival analyses of gene expression datasets retrieved from the Gene Expression Omnibus (GEO) to assess gene-level changes and prognostic associations.
Key Features:
- Direct Data Access: Downloads gene expression datasets directly from the Gene Expression Omnibus (GEO).
- Single-gene Evaluation: Enables focused analysis and evaluation of individual genes within specific GEO datasets.
- Differential Expression Analysis: Identifies genes with significant expression changes between experimental conditions.
- Survival Analysis: Assesses prognostic associations between gene expression and survival, including applications in cancer.
- Customized Graphics and Sample Selection: Generates tailored visualizations and allows selection of specific samples for analysis.
- Data Export and R Code Generation: Exports analysis data and generates R code to support reproducibility.
Scientific Applications:
- Cancer biomarker and prognostic evaluation: Evaluates the prognostic value of gene expression in cancer cohorts from GEO.
- Differential expression studies: Identifies differentially expressed genes involved in biological processes and genetic diseases.
- Single-gene investigations: Facilitates targeted investigation of individual gene expression patterns across GEO datasets.
Methodology:
Retrieves gene expression datasets from GEO and performs differential expression analysis and survival analysis, with options to export data and generate R code.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Dumas J, Gargano MA, Dancik GM. <i>shinyGEO</i>: a web-based application for analyzing gene expression omnibus datasets. Bioinformatics. 2016;32(23):3679-3681. doi:10.1093/bioinformatics/btw519. PMID:27503226.
PMID: 27503226